Good morning, ladies and gentlemen, and welcome to the D-Wave second quarter 2024 earnings call. At this time, all lines are in a listen-only mode. Following the presentation, we will conduct a question-and-answer session. If at any time during the call you require immediate assistance, please press star zero for the operator. This call is being recorded on Thursday, August 8, 2024. I would now like to turn the conference over to Kevin Hunt from Investor Relations. Please go ahead. Thank you, and good morning. With me today are Dr. Alan Baratz, our Chief Executive Officer, and John Markovich, our Chief Financial Officer. Before we begin, I would like to remind everyone that this call may contain forward-looking statements and should be considered in conjunction with cautionary statements contained in our earnings release and the company's most recent periodic SEC report. During today's call, management will provide certain information that will constitute non-GAAP financial and operational measures under SEC rules, such as non-GAAP gross profit, non-GAAP gross margin, non-GAAP adjusted operating expenses, adjusted EBITDA loss, and bookings. Reconciliations to GAAP financial measures and certain additional information are also included in today's earnings release, which is available in the investor relations section of our company's website at www.dwavequantum.com. I'll now hand over the call to Alan. Good morning, everyone, and thank you for joining us today. I'm excited to share our Q2 business results with you as we continue to see positive momentum across the business. The world is waking up to the fact that annealing quantum computing is here now, and it's driving measurable outcomes for our commercial, government, and research customers. We believe that D-Wave is single-handedly, and I've said this before, single-handedly creating the market for commercial quantum computing. Let me illustrate our momentum with a quote from IDC analyst Heather West, who recently wrote, and I quote, "Because D-Wave Quantum's quantum annealer is specifically built for solving optimization problems, some may argue that the quantum annealer is limited in the type of problem that it can be used to solve. However, optimization problems are one of the most prevalent problems found in all industries. Hence, D-Wave Quantum's technology provides an access point for all end users that are interested in using quantum computing to gain business value both today and into the future." Again, that's from IDC analyst Heather West. So there is rapidly growing recognition of the value and potential of D-Wave and its unique annealing quantum computing solutions to, one, streamline and optimize business processes, including applications like workforce scheduling, vehicle routing, and resource allocation, and two, fuel important research breakthroughs in areas like material science. And there is a growing realization that annealing quantum computing can deliver results in these areas today, not five or seven years from now, but today. For example, we're being invited to engage in an increasing number of government meetings and conferences to provide government personnel with a better understanding of the capabilities of quantum computing technologies today and in the future. We're also seeing an increase in third-party scientific papers highlighting our annealing quantum computing technology and its capabilities. Lastly, we're hearing from more and more customers from both the private and public sectors that they've tried quantum computing solutions but need to work with D-Wave, the quantum vendor that has real, scalable, and production-grade commercial solutions today. Customers have indicated that abysmal availability and reliability from other quantum vendors are huge pain points and a block for accelerated adoption. We believe that only D-Wave is able to provide the commercial-grade systems and services to solve real-world, large-scale problems at the speeds needed right now. I'd like to now walk through a few key business highlights, starting with product and technical advancements. Last week, we announced a Quantum AI product development roadmap that extends D-Wave's Leap quantum cloud service to incorporate AI and machine learning. Our efforts will focus on helping customers address AI/ ML workloads, including pre-training optimization, more accurate and efficient model training, and opening new AI business use cases that require the integration of AI and business optimization. This effort is in direct response to growing demand from our customers as the broader industry is confronting a computing crunch. The amount of compute and the associated energy costs needed to satisfy a growing set of AI and ML use cases is rapidly escalating. Our Quantum AI solutions aim to leverage annealing quantum computing's ability to solve optimization problems to help customers achieve better, faster, cheaper, and more energy-efficient AI and ML solutions. The opportunity for D-Wave could be massive, and more importantly, the benefit to our customers could be transformative. As part of the Quantum AI product roadmap initiative, we recently announced a significant expansion to our commercial partnership with Zapata AI. Our extended collaboration is designed to accelerate the development and delivery of integrated quantum and generative AI solutions in D-Wave's Leap Cloud platform. The expanded agreement leverages Zapata's universal generative AI software for rapid development and builds on D-Wave's Leap real-time quantum cloud service to support quantum, hybrid quantum, and even pure classical AI solutions. Together, our joint development work will focus on improved and more energy-efficient model training, more performant models, and the synergistic use of generative AI and quantum optimization. It is an important piece of our overall quantum AI strategy. On the systems side of our business, we shared that we are placing a second Advantage quantum computer in the U.S. This will mark the fourth production quantum computer in the Leap quantum cloud service. We're thrilled that the system will reside at Davidson Technologies' new global headquarters in Huntsville, Alabama. I was actually just down in Alabama with Dale Moore and his team from Davidson at the Space and Missile Defense Symposium event, talking about the significance of this system placement, especially to the U.S. government. The system will eventually be housed in a secure facility that could run sensitive applications using our quantum technology. This is an important development in our partnership with Davidson as we collaborate to accelerate quantum computing adoption among government agencies, especially in the areas of national security. We're also making noteworthy progress on our path toward delivering the 7,000+ qubit Advantage 2 product. We are nearing completion of calibrating a 4,800+ qubit Advantage 2 processor, following the launch of the 1,200+ qubit Advantage 2 prototype earlier this year, which is available for customer use now in our Leap quantum cloud service. We are also furthering our ongoing development of new control protocols that should help customers perform expanded and richer quantum computations on our QPUs. I'll highlight a few examples. The first is Fast Anneal. As discussed during our Q1 earnings call, we introduced our powerful new Fast Anneal feature in April to help users perform quantum computations at unprecedented speeds, thereby reducing the impact of external disturbances, such as thermal fluctuations, that can hinder quantum calculations. Customer response has been incredible, as they have now submitted 2.5 million problems using this feature. The second is cyclic annealing. Research and development of cyclic and iterative annealing protocols are underway. We could extend the coherent regime across multiple cycles. This means that the system could potentially provide the same performance benefits that would result from much longer coherence times. Truly exciting work is happening here. The final is Bell inequality violation. By leveraging novel QPU control protocols, we have been able to show a violation of Bell's inequality, which is a widely recognized signature of quantum behavior in the fabric of our annealing QPUs. We are able to produce targeted qubit excitations and analyze and read out qubit state in arbitrary bases midway through the annealing process. This enables us to explore both digital and analog quantum computing protocols in the same processing fabric, and potentially opens up important new applications opportunities, such as much richer quantum distributions for generative AI architectures. Now turning to software. We launched a new nonlinear program, Hybrid Quantum Solver, in June. This new solver enables customers to tackle real-world problems of growing complexity, supporting up to 2 million variables and constraints, which represents a tenfold increase in problem size capacity over other D-Wave solvers for certain applications. We also introduced two demos of applications built with this new hybrid solver, addressing vehicle routing and flow shop scheduling. These were introduced at our annual Qubits User Conference in June. The new hybrid solver is part of our expanding set of commercial quantum optimization offerings, supporting the aggressive go-to-market growth strategy that we announced earlier this year. During the quarter, we also continued to expand our extensive patent portfolio, totaling over 240 issued U.S. patents, with more than 60% of our patents covering both annealing and gate model technologies. D-Wave's patent portfolio is ranked as the third-largest quantum computing patent portfolio in the world, behind only IBM and Google. So as you can see, we've been remarkably busy with technology and product development, delivering new solutions that are 100% focused on providing customer value. It's not innovation for innovation's sake, but rather development that helps our customers solve problems of even greater complexity in ways that are better, faster, less costly, and more energy efficient. And speaking of customers, let's switch gears and discuss commercial momentum. Our second quarter 2024 bookings mark our ninth consecutive quarter of year-over-year growth in quarterly bookings. In comparing the most recent four quarters with the immediately preceding four quarters, our customer count rose from 114 to 130. Commercial customers went up from 70 to 77, and we counted 26 Forbes Global 2000 companies as customers, constituting 33% of total commercial customers and 26% of total revenue. We are working with customers on a wide range of quantum optimization applications, including body shop scheduling and vehicle routing. Let me highlight a couple of examples. First, we are working with Ford Otosan, an automotive manufacturing company based in Turkey, that is equally owned by Ford Motor Company and Koç Holding. Together, we have built a solution to generate a sequencing schedule that maximizes vehicle production for the body shop. The quantum optimization application was able to schedule 1,000 vehicles per run in under five minutes, compared to 30 minutes using their current process. Next up, Hermes Germany, a leading logistics service provider in Germany, is working with us and our partner, Quantum Basel, to explore a vehicle routing quantum optimization application to route trucks from 50 depots to a network of 17,000 parcel shops throughout Germany. The project aims to understand quantum's ability to better optimize these routes in terms of time, distance, and CO2 emissions. As you can see, this falls right in the sweet spot of the verticalization strategy we've talked about previously, with our focus on manufacturing and supply chain logistics. All are very exciting projects spanning a diverse set of quantum optimization problems. Just as exciting was the quantum industry's interest and participation in our tenth Qubits User Conference in June. More than 600 attendees, representing 452 organizations from 50 countries, participated live or virtually. An incredible turnout for the ecosystem of D-Wave and annealing quantum computing supporters. This year's theme was fittingly, Success Powered by Quantum, and we are excited to see an impressive group of organizations on stage sharing their stories of impact using D-Wave technology. This included Los Alamos National Lab, Mastercard, SAS, Davidson Technologies, Quantum Basel, Zapata AI, Unisys, and more. The energy was palpable, with attendees inspired by these real-world successes and expressing their excitement for what we are building in our D-Wave quantum computing quantum community. I think everyone was equally inspired by my dramatic reading of a reimagined version of The Tortoise and the Hare, as I donned a smoking jacket and shared the story of D-Wave serving as the measured, unflappable turtle winning the quantum race. If you haven't seen it, check out my Qubits keynote on YouTube. So we are clearly witnessing growing awareness and interest in our solutions in the commercial sector, but that's not all. We're also seeing similar traction in the government sector. This quarter, we saw an uptick in D-Wave interest from a number of major government organizations and companies that service the public sector to build applications that showcase how quantum computing can address critical public sector and national security challenges. Policymakers continue to expand government programs to encompass near-term applications, as well as support for quantum annealing and quantum classical technologies. Additionally, Congress is beginning to move policy which supports establishing test bed programs exploring the intersection of AI with other emerging technologies like quantum computing. Let me highlight another sign of increasing interest in our technology. We've seen double-digit enrollment growth for our quantum training courses in the first six months of 2024, compared to the same period in 2023. Enrollment in the Quantum Programming Core course increased by 53%, and combined enrollments for our core plus Foundations for Quantum Programming increased by 85%. We believe this underscores a growing global movement to train workers to keep pace with the rapidly increasing adoption of quantum computing and specifically D-Wave's technology. John will walk you through the financials in just a minute, but there are two financial-related items that I wanted to call out. First, D-Wave has joined the Russell 3000 Index. As you all know, Russell indices are used by investment managers and institutional investors for index funds and as benchmarks for active investment strategies. Our inclusion in this group is an honor, and we will greatly increase visibility among the global investor community for the innovative quantum solutions we are bringing to market. And second, we are pleased to share that we ended the quarter with more than $50 million in cash, one of the company's highest quarter-end cash balances in history. It's been a solid quarter with impressive product innovations and customer adoption of these new products. Customers are clamoring to put these solutions to use in their operations. That appetite is evident in our commercial traction, government public sector interest, and market position. With that, I'll hand the call over to John to provide a review of our second quarter and first half 2024 results. John? Thank you, Alan, and thank you to everyone taking the time to participate in today's call. In my review of the second quarter and first half results, I will be providing non-GAAP operating metrics, including bookings, as well as non-GAAP financial metrics, including non-GAAP gross profits, non-GAAP gross margins, non-GAAP adjusted operating expenses, and adjusted EBITDA losses. We believe these metrics improve investors' ability to evaluate our underlying operating performance. These measures are defined in the tables at the bottom of today's second quarter earnings press release, with the non-GAAP financial metrics, for the most part, adjusting for non-cash and non-recurring expenses. Revenue for the second quarter of fiscal 2024 totaled $2.2 million, an increase of approximately $500,000, or 28%, from the second quarter of fiscal 2023 revenue of $1.7 million. Bookings for the second quarter totaled $2.7 million, an increase of approximately 200,000 or 6% from the second quarter of 2023 bookings of $2.5 million. The $2.7 million in second quarter bookings represents D-Wave's ninth consecutive quarter of year-over-year growth in quarterly bookings. There are two noteworthy developments that I would like to highlight with respect to our bookings and bookings trend. One, our sales organization is currently undergoing a transformation under the new leadership of Lorenzo Martinelli, who joined D-Wave as Chief Revenue Officer several months ago. Lorenzo is focused on expanding the size of the sales organization, as well as aligning the sales organization's capabilities and expertise with our vertical market focus that encompasses manufacturing, supply chain, logistics, and government, with a specific focus on four quantum market categories: optimization, AI, research, and infrastructure. The entire go-to-market organization has been intimately involved with the organizational up-leveling, which has had some impact on near-term sales productivity. We are planning on completing this transformation by the end of this year. Second, the composition of our bookings in the first half of the year has trended towards larger, longer-term, higher margin QCaaS contracts that has changed the recent historical bookings to revenue relationship, providing an incrementally greater line of sight to our future year revenues and gross margins. Between the end of the fourth quarter of 2023 and the end of the second quarter, our revenue backlog increased by $3.1 million or 64%, from $5 million to $8.1 million, with the composition of the backlog shifting as follows: As of the end of December, 73% of the revenue backlog was expected to be recognized in the following twelve months and 27% thereafter. Whereas, as of June 13th, 42% of the revenue backlog was expected to be recognized in the following twelve months and 58% thereafter. Furthermore, QCaaS, as a percentage of the revenue backlog, increased between the two periods. Our revenue backlog disclosure can be found in the remaining performance obligations footnote number 3, for the financial statements set forth in our second quarter Form 10-Q, that will be filed with the SEC after market close today. With respect to customers, we continue to broaden and diversify our customer base across commercial, government, and research customers. In comparing the most recent four quarters with the immediately preceding four quarters, D-Wave had a total of 130 customers, compared with a total of 114. 77 commercial customers, compared with 70 commercial customers, with the commercial customers, including 26 Forbes Global 2000 customers, compared with 22 Forbes Global 2000 customers. With these, Forbes Global 2000 customers constituting 33% of the total number of commercial customers over the last four quarters. With respect to commercial traction, in comparing the most recent four quarters with the immediately preceding four quarters, revenue from commercial customers increased by 35% or $1.8 million. Commercial revenue, as a percentage of total revenue, remained relatively flat at 65.9% versus 66.7%. Revenue from Forbes Global 2000 customers increased by 50%, or approximately $900,000, with Forbes Global 2000 customers constituting 26% of total consolidated revenue. Several of these Forbes Global 2000 customers include NEC, Vinci, Koç Holding, Mastercard, Bridgestone Corporation, and the Interpublic Group. With respect to gross profit, GAAP gross profit for the second quarter was $1.4 million, an increase of approximately $700,000, or 97% from the second quarter of fiscal 2023 GAAP gross profit of approximately $700,000, with the increase due primarily to the growth in revenue and increased operating efficiencies. Non-GAAP gross profit for the second quarter was $1.6 million, an increase of approximately $600,000, or 61% from the second quarter of fiscal 2023 non-GAAP gross profit of approximately $1 million. Again, with the increase due primarily to the growth in revenue and increased operating efficiencies. The difference between GAAP and non-GAAP gross profit and gross margin is limited to non-cash stock-based compensation and depreciation expenses that are excluded from the non-GAAP gross profit and gross margin. GAAP gross margin for the second quarter was 63.6%, an improvement of 22.3% from the second quarter of fiscal 2023 GAAP gross margin of 41.3%. Non-GAAP gross margin for the second quarter was 73.1%, an improvement of 15% from the second quarter of fiscal 2023 non-GAAP gross margin of 58.1%. With respect to operating expenses, the GAAP operating expenses for the second quarter were $20.2 million, a decrease of $1.4 million or 6% from the second quarter of fiscal 2023 GAAP operating expenses of $21.6 million, with the improvement driven primarily by decreases of $1.7 million in third-party professional services and approximately $400,000 in non-cash stock-based compensation expense, partially offset by an increase of approximately $800,000 in marketing expenses. Non-GAAP adjusted operating expenses for the second quarter were $15.5 million, a decrease of approximately $400,000 or 3% from the second quarter of fiscal 2023 non-GAAP adjusted operating expenses of $15.9 million. That reflects the company's continued focus on expense management, with the decline driven primarily by a decrease of approximately $800,000 in third-party professional services, $200,000 in fabrication-related activities, and $200,000 in insurance, partially offset by an increase of approximately $800,000 in marketing expenses. Again, the difference between GAAP operating expenses and non-GAAP adjusted operating expenses is primarily non-cash stock-based compensation expenses and depreciation and non-recurring expenses. The net loss for the second quarter was $17.8 million, or $0. 10 a share, a decrease of $8.4 million, or $0.11 per share, from the second quarter of fiscal 2023 net loss of $26.2 million or $0. 21 per share. Adjusted EBITDA loss for the second quarter was $13.9 million, an improvement of $1 million or 7% from the second quarter of fiscal 2023, adjusted EBITDA loss of $14.9 million, with the improvement driven by higher gross profit in combination with lower operating expenses. Now I will address the operating performance for the first half of 2024. D-Wave's revenue for the six months ended June 30, 2024, was $4.6 million, an increase of $1.3 million or 41% from revenue of $3.3 million in the six months ended June 30, 2023. Bookings for the first half of fiscal 2024 were $7.2 million, an increase of $2.7 million or 58% from bookings of $4.5 million in the first half of fiscal 2023. GAAP gross profit for the first six months of fiscal 2024 was $3 million, an increase of $1.9 million or 171% from GAAP gross profit of $1.1 million for the first six months of fiscal 2023, with the increase due primarily to the growth in revenue and increased operating efficiencies. The non-GAAP gross profit for the first six months of fiscal 2024 was $3.5 million, an increase of $1.7 million or 89% from the year earlier six months non-GAAP gross profit of $1.8 million. With respect to margins, GAAP gross margin for the first half of fiscal 2024 was 65.6%, an increase of 31.4% from the 34.2% GAAP gross margin in the first half of fiscal 2023, with the increase due primarily to the growth in revenue and increased operating efficiencies. The non-GAAP gross margin for the first half of fiscal 2024 was 75%, an increase of 18.9% from 56.1% in the six months ended June 30, 2023. The difference between GAAP and non-GAAP gross profit and margin is limited to the non-cash stock-based compensation and depreciation expense that are excluded from the non-GAAP gross profit and gross margin. With respect to first half operating expenses, the GAAP operating expenses totaled $39.4 million, a decrease of $7.3 million, or 16%, from the GAAP operating expenses of $46.7 million in the first half of fiscal 2023, with the year-over-year decrease primarily driven by $3.5 million in non-cash stock-based compensation expense and $4 million in third-party professional services. Non-GAAP adjusted operating expenses for the first half of 2024 were $30.3 million, a decrease of $3.4 million or 10% from $33.7 million in non-GAAP adjusted operating expenses in the first half of fiscal 2023. Net loss for the six months ended June 30, 2024, was $35.1 million, or $0.21 per share, compared with a net loss of $50.6 million or $0.40 per share in the six months ended June 30, 2023. Adjusted EBITDA loss for the first half of fiscal 2024 was $26.8 million, an improvement of $5 million or 16% from the adjusted EBITDA loss of $31.8 million in the first half of fiscal 2023, with the decrease due primarily to higher gross profit and reduced operating expenses, particularly with respect to third-party professional services. Now I will address balance sheet and liquidity. As of June 30, 2024, D-Wave's consolidated cash balance totaled $40.9 million, an increase of $33.4 million or 444% from the year-earlier second quarter cash balance of $7.5 million. On April 12 of this year, D-Wave's $175 million S-3 shelf registration statement was deemed effective by the SEC. On that same date, the company's equity line of credit, S-3 registration statement with Lincoln Park Capital Fund, also went effective. As of the effective date, the company had $82.1 million in available stock issuance capacity under the equity line of credit, with the investment commitment running through October of 2025. As of June 30, D-Wave had $61.8 million in available issuance capacity under the equity line of credit. D-Wave's ability to raise additional funds under the equity line of credit is subject to a number of conditions, including having a sufficient number of registered shares and D-Wave's stock price being above $1 per share. On May 31, 2024, the S-3 registration statement was partially used for a $100 million at the market program. As of June 30, 2024, D-Wave had $90.7 million of issuance capacity under the ATM and had a total of $152.5 million in common stock issuance capacity under the ELOC and ATM on a combined basis, as well as an additional $75 million in unallocated capacity under the S-3 shelf registration statement. Subsequent to the end of the second quarter, D-Wave began paying down the term loan with PSPIB Unitas Investments, with payments totaling approximately $15.8 million, leaving a loan balance of about $18.6 million as of today. We are reiterating the full year 2024 financial guidance set forth in our March 28, 2024, fiscal 2023 fourth quarter and full year earnings press release. Our guidance is subject to various cautionary factors described below. Based on the information available on August 7, 2024, guidance for the full year 2024 is as follows: We expect the fiscal 2024 Adjusted EBITDA loss to be less than the fiscal 2023 Adjusted EBITDA loss of $54.3 million. To conclude, as we have previously stated, we believe that D-Wave has the opportunity to be the first independent, publicly held quantum computing company to achieve sustained profitability and to achieve this milestone with substantially less funding than required by any other independent, publicly held quantum computing company. With that, we will now open the call for questions. Thank you. Ladies and gentlemen, we will now begin the question and answer session. If you would like to ask a question, please press star followed by the number one on your touchtone phone. You will hear a prompt that your hands has been raised. If you wish to decline from the polling process, please press star followed by the number two. If you are, or, uh, if you are on a speakerphone, please leave the handset before pressing any keys. Each participants can ask one question and a follow-up. If you have more questions, please rejoin the queue. One moment, please, for your first question. Your first question is from the line of Craig Ellis from B. Riley Securities. Your line is now open. Yeah, thank you for taking the question, and guys, congratulations on the technical and commercial progress, as well as joining the Russell 3000. Nice to see. Alan, I wanted to start with just a follow-up to the point you made on AI developments and better understand what the roadmap progress and the Zapata Partnership Agreement mean for really the timing to broadening commercial engagement, since that's been one of the strengths of the company, and what some of the milestones are that we observers should keep in mind as you go down that path. Sure. Thanks, Craig, for the question. Actually, before I answer the question, I think I need to correct a misstatement that I made earlier, although John said it properly, that our cash balance at the end of the second quarter was a little over $40 million. I may have misstated it as $50 million, but $40 million is the correct number, so I just wanted to correct that. With respect to your question, Craig, so more and more of our customers are asking us, you know, how we can, A, help to improve their AI machine learning initiatives, and B, combine AI and machine learning with our optimization capabilities. The example of the latter that I often like to use is, you know, AI is good at being predictive, so you could predict demand for products over some future period and then use quantum optimization to optimize the supply chain in support of that demand. So based on these customer requests, we really started thinking through how we could help our customers to better leverage AI and machine learning. And based on work that we had actually been doing ourselves and with some of our customers, what we realized is that we have opportunities in three areas. One is to help our customers build more accurate models by leveraging quantum distributions in the training of those models rather than classical distributions. Two, develop AI machine learning models with much less energy consumption, because our quantum computers are very energy efficient compared to GPUs, which are used pretty much exclusively to train models today. And then third, as I said, bring together AI machine learning with quantum optimization. And we've got some early proof points in each of these areas. As you know, we've talked about some work that we've been doing with TRIUMF, which is a leading scientific research institution in Canada, as well as some other companies that are starting to demonstrate the fact that we can be successful in all three of those areas. And then of course, Zapata AI has some software that actually can be used to get a quick start on doing this, Quantum AI integration for model training. So, essentially, what the roadmap constitutes is, A, enhancing the Leap Cloud service with more GPU capability, so that, you know, as soon as possible, our customers can leverage our Leap Cloud service, not just for quantum optimization, but also for AI model training, even if only classically to start. Then B, integrating the quantum computations with AI machine learning, to kind of enable that integrated machine learning, quantum optimization capability. And then finally, actually leveraging the quantum computers in support of doing the model training, to be able to deliver better models. So that's essentially how we are focused on supporting our customers and rolling out capabilities through our Leap Cloud service. Yep. A lot there, and it makes sense. Thanks for that, Alan. And then, John, I just wanted to cycle back to the point on bookings and make sure I get the bookings math based on the numbers that you provided. So it sounds like with the increase in bookings, but the duration difference, we've got a sustained low $3 million forward twelve months visibility to bookings, so $3.2-$3.3 million of forward twelve months. But where we are today is the visibility beyond that looks like it's up about 2.5 times versus six months ago, with about $5 million of visibility versus $2 million six months ago. Is that math correct? The numbers I referenced earlier, Craig, was a remaining performance obligations as of the end of June, of $8.1 million, and I compared that to $5 million as of the end of the fourth quarter. So a $3.1 million increase, but the composition of those bookings changed rather significantly as a result of the longer term QCaaS bookings. And this is b roken out a nd this will be. Go ahead. Broken out in great detail in the Q that we'll file later today. Does that answer your question? Yeah. It does, but it sounds like my math is right. Given the change in timing distribution, it means that with the big increase, a lot of that has occurred beyond 12 months to give people longer term visibility on the business. Okay. Thanks, guys, appreciate it. Exactly. Helpful. I'll hop back in the queue. Right. Oh, actually, let me sneak one more in. I didn't hear, John, a breakout between. Craig, Craig? QCaaS revenue and professional service. Sorry, Craig. Craig, I apologize. We're starting to run late, so I think we're gonna have. Okay. To stick to two. Sorry. Let's go to the next question, please. Your next question is from the line of Quinn Bolton from Needham. Your line is now open. Hey, guys, let me also offer my congratulations on the continued progress. Alan and John, you guys mentioned sort of the change in the sales force leadership and resulting changes to the sales organization. It sounds like it's had some near-term impact. I'm wondering if you see that impact really more affecting just the bookings activity. Has it actually impacted revenue? And you mentioned you sort of thought that it would, you know, those effects would sort of dissipate by the end of the year. So should we infer that as we get into the fourth quarter, and certainly into the first couple quarters of next year, that you would expect an acceleration in bookings activity now that you have the sales force realigned? So, obviously we're not giving guidance on bookings. But, you know, I think the fact that we are significantly ramping up staffing in the go-to-market arena, and specifically bringing in skills in the areas John outlined, the verticals, as well as the application areas, that your characterization is reasonable. Perfect. And then I'll throw a technical question. But you mentioned the Bell inequality violation, and it allows you to explore digital and analog quantum computing. Just, what's, you know, sort of, if you could, Alan, dumb it down for those of us that aren't quantum experts, what's the importance of that, you know, especially sort of an analog versus digital capability? You know, what does that bring to customers? Or how does that allow you to expand the application use case of annealing? Yeah. So, first of all, let me, let me just take a, a second and say, when we say digital and analog, you know, what I'm about to say is pretty close to accurate. It's not 100% accurate, but it's pretty close. Essentially, what we're saying is combining gate model type computation with annealing type computation all within our annealing fabric. Now, what's the significance of that? You know, as I mentioned, the significance of that is that, you know, it will allow us to generate quantum distributions that are in some sense richer than what we can generate with annealing exclusively, and that will have significant benefits in areas like machine learning, model training, and, you know, I think I talked about this briefly in the past, but, you know, doing some exploration in the area of hashing functions, you know, these kinds of rich quantum distributions can be very helpful there as well. So think about energy-efficient hashing functions. Perfect. Thank you. Your next question is from the line of Richard Shannon from Craig-Hallum. Your line is now open. Well, great, Alan, John, thanks for taking my questions. I'm gonna follow up on some comments from John, but the question really is more for Alan here. John, you detailed some changes to the go-to-market sales force in the context of bookings and kind of changes there. I guess my question really for Alan here is, going back to the analyst event back in January, you talked about a goal of increasing, you know, time to revenues and time to solution for customers here. Maybe you can give us context here on the sales force changes being made here. They're affecting bookings. How has that also helped, or maybe just give us an update on how you think your progress is going in terms of accelerating the time to solution from your sales force? So I think as I said at the analyst conference, the approach of focusing on some key verticals and some key use cases, we believed and believe, accelerates time to production by allowing us to get the benefits of reuse. In other words, you know, we learn from developing a use case with and for one customer, and we can bring that, those learnings to the next customer and get better at it, and the next customer, and so on, ultimately being able to move faster and help customers get into production more quickly. And you know, that is still our view and our goal, but it does take some time. I mean, this whole notion of learning from reuse means that we need to learn, and we need to reuse. So by staying focused, we're making progress toward that end, but it does take some time. And then, of course, as we introduce the new verticalization strategy, it meant, meant we needed to, in some sense, tool up the go-to-market organization with the skills in those vertical areas and use cases to be able to be effective, in selling and supporting customers in those areas. And that's all work that we started to put in place, you know, as we were coming through the analyst conference in January. One of the early and most important steps was to hire our new Chief Revenue Officer, Lorenzo Martinelli, who has a strong background in this area and, you know, has kinda worked to, if you like, determine how to best retool the go-to-market organization, and that's now all starting to get implemented, including significant focus on staffing. We will, you know, over double the go-to-market staffing over the course of the remainder of this year. Okay, thanks, thanks for that detail, Alan. To follow up on that, seems very interesting dynamics there. My follow-on question is touching on the Fast Anneal feature. Your press release mentioned you've now got 2.5 million problems, up from 0.5 million problems that you mentioned at the conference call a quarter ago. Obviously, impressive growth there. I guess maybe just provide. It'd be interesting to hear some perspective on what this exactly means from both a sales and a technology, I know, seasoning perspective here. I'm guessing there's probably not much of any real sales associated with this, but maybe you can help us understand and what you expect from, you know, all these problems being submitted and how this helps advance your technology platform. Thanks. Yeah. Maybe two comments. First, the Fast Anneal capability, combined with the 1,200-qubit Advantage 2 system that's now available in our cloud service, was the platform that we used to achieve the quantum supremacy result. We tried to do that work on the Advantage system, the 5,000-qubit Advantage system, but it really required the 1,200-qubit Advantage 2 processor with Fast Anneal because of the longer coherence times. And the longer coherence times, combined with the Fast Anneal, means that essentially, we can get to solutions faster, because we know that the rate to optimality is much faster when we are doing coherent quantum annealing, when the annealing process is running while the system is coherent. And so the combination of the longer coherence times in the Advantage 2 processor with the Fast Anneal, right? So that the anneal is not living outside of the coherence times, and we're starting to see impact of the external environment, we can get to solutions much faster. So, on the one hand, it gave us a quantum supremacy result, which has been invaluable in getting the government, the US government and other governments around the world, excited about finally starting to get engaged with D-Wave, so opening up more opportunities for us there. It's also been a supporting message for the commercial market as they get more and more comfort with our technology being able to do things that can't be done classically. And then secondarily, and maybe even more directly, it just means that we are able to deliver better solutions faster to their commercial optimization problems. Great. Thanks for all that detail. I'm gonna unpack that one a little bit later, but that's all the questions from me, guys. Thanks. Thanks. Due to time, we will only allow one question, then ask you to rejoin the queue for the follow-up question. Your next question is from the line of David Williams from Benchmark. Your line is now open. Great. Thanks so much for taking my question here. I guess maybe for John. Revenue was below expectation, I believe below where you guided, and you talked a little bit about this, but I'm just wondering if maybe you can help us understand how you typically expect maybe bookings to convert to revenue, and then how much of your business is generally a turns business or business is captured during that quarter? Thank you. David, I think you stated revenue guidance, which for clarity, we have not provided any revenue guidance. We provided EBITDA guidance on the year. As I mentioned earlier, the composition of our bookings has changed rather significantly in the first half of the year, which has changed the historical relationship between bookings and when that revenue is recognized. As of the end of December, when we looked at our revenue backlog at that point, 73% of the revenue would be recognized in the subsequent twelve months. As of the end of June, that number had dropped to 42%, meaning that the balance, or 58%, is stretched out over the next couple of years. So the average contract term has lengthened rather significantly, and the bulk of that backlog is QCaaS revenue, so the higher margin QCaaS contracts. So that relationship is going to be a function of whatever the composition of the bookings is at any given point in time. Does that answer your question? It does. Thank you. Your next question is from the line of Suji Des ilva from Roth Capital. Your line is now open. Hi, Alan. Hi, John. Congrats on the progress here. I'm curious on the new sales structure, if this will help improve or accelerate land and expand efforts at the customers, maybe a customer--a revenue per customer metric in the future might show there. And particularly, Alan, the verticals of optimization, AI research, and infrastructure, I'm curious how those, in particular, are gonna play out in terms of helping here. Thanks. Yeah. So actually, the land and expand is working quite well. You know, we've got currently six or seven PS engagements in flight with commercial customers. You know, I talked about Ford Otosan, I talked about Hermes. In the past, we've talked about Vinci, we've talked about Mastercard, and we are progressing all of those. And so we're feeling quite good actually about that component of the model. Once we get engaged and we start working with the customer through the professional services organization, the PS team is phenomenal. They're always delivering good results, and then, you know, as a result, the customers start looking to, okay, you know, how, how do I move this into production, or what's the next application? So, you know, all the changes that Lorenzo is making are, you know, in some sense, more oriented toward growing the customer base as opposed to the land and expand. And with respect to AI/ML, you know, again, this just simply makes, you know, our capabilities richer, and the applications more valuable, in the verticals that we've already said we wanna go after: manufacturing, logistics, especially logistics and government. Okay. Thanks, Alan. Your next question is from the line of Harsh Kumar from Piper Sandler. Your line is now open. Actually, the last answer might chime into the question that I'm asking, but but Alan, I noticed that your bookings were up very nicely, and I was curious what kind of companies and markets or customers are signing up incrementally with you. In other words, what industries are showing most interest in, in signing up with your company? So, Harsh, it really does continue to focus on the verticals that we've talked about. We knew at the beginning of this year that those represented the low-hanging fruit, the areas where we thought we could deliver the most value fastest. And, you know, we are having success in signing up those customers in those industries over other industries. It's just that we need to be even more effective, move even faster, and be signing up more customers, you know, in a given period of time. But it is those areas, with the notable addition of government. And there really has been a rapidly increasing interest from government in our technology, and that is opening up opportunities there for us as well. Got you. Thank you for the color. There are any other questions? We have two minutes left, so if we wanna cycle back around to Suji, maybe, or David, I guess, would be next, if you wanted to ask a second question. Or Suji or Harsh? Hey, guys, can you hear me? Yes. Great. Thanks for taking the follow-up here. Just kind of curious, Alan, if you could speak to, you know, you've got some really nice innovation here, very solid on the technology front, but just kind of wondering how your customers view that. And if you could speak to maybe the key areas that resonate most, you think, as you're acquiring customers. Thank you. Yeah. So when we're talking about the use cases in the vertical areas, what they really care about is how well can we solve their problem? And it's really us being able to leverage our new technologies to be able to solve their problems faster and with greater precision. And but at the end of the day, what they care about is solving their problems. What we care about is having the technology that allows us to do that really well. If we're talking about government and research, they wanna play with the technologies. I mean, that's really what's going on with all our competitors, right? It's basically governments playing with the technologies, 'cause can't really do anything useful with them. But now we've got some really exciting enhanced capabilities that is generating excitement for government and research as well. Thank you. Your next follow-up question is from the line of Craig Ellis. Your line is now open. Yeah, thanks for taking the question. John, can you help us with the breakout of QCaaS versus professional services in the quarter, even if qualitatively? Thank you. Sure. So for the quarter, QCaaS revenue represented about 81% of the total revenue, whereas professional services represented 16%. Thank you. Okay. We're pretty much at time now, so let me just close out by saying that our second quarter results show continued progress and momentum on all fronts: revenue, liquidity, and technical advancements. There's rapidly growing awareness of annealing quantum computing and its ability to deliver business benefits today, and this is further strengthened by our product development activities in hardware, software, and quantum artificial intelligence. Our momentum as one of the few companies in the world leading the quantum transformation is evident, and we thank you all for your time today. Ladies and gentlemen, this concludes today's conference call. Thank you for your participation. You may now disconnect.