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Before diving into the updates from this quarter, I want to take a moment to highlight IonQ's impressive trajectory and current position in the rapidly evolving quantum market. Two years ago in advance of our 2021 public listing, we published an ambitious plan of financial and technical milestones for the future years. Having wrapped up 2022, I am proud to say that we've exceeded our original bookings targets in both years and have tracked closely to our technical plans even hitting our technical performance milestone last year, six weeks ahead of schedule. IonQ is trailblazing even in spite of the current market conditions. We have seen current market conditions impact many industries and even some of our peers, but IonQ, we see no signs of slowing down.

Our customers and prospects continue to demonstrate enthusiasm about working with IonQ. Meanwhile, our technical and company-building efforts are moving forward at full speed bolstering IonQ's position as our front runner in our industry, we believe we are the most well capitalized, pure-play quantum computing company by leaps and bounds. We believe we have enough cash to get the company to profitability based on our current roadmap and our focus is driving to quantum advantage and advancing the development of applications that leverage our technological edge. With that context allow me to share the latest details of our progress at IonQ. First, I'm thrilled to welcome two exceptional leaders who joined our team over the last few months. In late 2022, Rima Alameddine joined IonQ as our Chief Revenue Officer; and Wendy Thomas, the President and CEO of Secureworks, was appointed to the IonQ Board of Directors.

Both Rima and Wendy bring a wealth of expertise and experience and we look forward to the valuable contributions they will make towards IonQ's continued success. As Chief Revenue Officer, Rima will spearhead IonQ's expanding sales and revenue division, working with current and future clients to use quantum solutions to solve some of the world's most complex problems. Rima joins us after nearly seven years at Nvidia as the Vice President of Enterprise Sales for the Americas across multiple industries. Prior to Nvidia, Rima spent 18 years at Cisco where she led the company's New York enterprise sales business. With Rima at the helm we expect that our go-to-market team will continue to innovate on behalf of customers. As I mentioned, our technical accomplishments were just as impressive as our financial accomplishments in 2022.

Our team successfully executed against our technical roadmap ahead of schedule to deliver our record-breaking system performance of 25 algorithmic qubits by our Q3 earnings call. We continue to believe that IonQ is the only commercial quantum computing company with this superior level of performance, which gives us a head start in enabling real world use cases for customers. What's more? We have made this technology broadly accessible by offering our IonQ Aria system on Microsoft Azure. We are also experiencing rapid growth in our user base, which has led to a surge of inquiries from potential customers about the transformative potential of quantum computing. At IonQ, we are witnessing the convergence of two powerful trends, the rapid advancement of quantum hardware and the increasing efficiency of quantum algorithms.

This convergence is driving us towards unprecedented advancements in the development of commercially viable applications of quantum computing and we are at the forefront of this transformation. We believe that quantum machine learning or QML will emerge as one of the most robust and practical applications of quantum computing in the coming years. Machine learning involves searching vast amounts of data to find a statistical best fit answer. Quantum computers can be harnessed to efficiently explore many dimensional spaces, even with the small number of variables making them ideal for machine learning tasks. Even with smaller scale systems, quantum machine learning models can be trained to recognize complicated structures more efficiently than classical computers.

We recently announced that our partnership with Hyundai Motor Company to use QML for autonomous vehicles is yielding impressive results. As previously reported by using QML instead of classical ML for road sign detection, we were able to reduce modeling complexity by several orders of magnitude, while maintaining similar accuracy to classical equivalents, even with challenging real life situations such as processing images with low resolution, low contrast, and over exposure. Building on this success, we are now applying similar QML techniques to more complex 3D object detection. We are confident that our QML based autonomous driving solutions can contribute to the development of safer and more reliable transportation technology in the future.

Additionally, on the QML front, you may remember that we provided an update on using QML for natural language processing in our Q3 earnings call well before the recent uptick in dialogue about generative AI. Today we are excited to share the latest work from IonQ, which will be published in the coming weeks in a peer-reviewed academic journal. Our team has successfully designed and run the first ever quantum circuits that can simulate well-known human cognitive biases, such as how the order of questions on a survey impacts the participants' answers. This work paves the way for new possibilities in natural language processing beyond the capability of classical computers. We envision this bias model becoming a key component in the development of highly effective AI-enabled chatbots in the future.

Our advancements in quantum applications are not constrained to QML. We are also making strides in quantum chemistry. Considering our efforts with Hyundai to optimize battery chemistry, in the past, we shared our quantum simulations for lithium oxide molecules. We were able to successfully run the largest correlated quantum chemistry simulation on quantum hardware to date. The results of this work were shared with the public in the fourth quarter. We believe this work is groundbreaking in the field of quantum computing, demonstrating the immense potential for quantum simulation to tackle some of the most pressing challenges in material science. Today we are collaborating on modeling more complex electrochemical reactions, underlying energy storage mechanisms.

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This cutting edge work will facilitate the development of top of the line energy storage solutions that are more efficient, longer lasting, and more sustainable than ever before. In another quantum chemistry initiative, we collaborated with Accenture and the Irish Centre for High-End Computing to create a scalable chemistry simulation platform. Specifically, the tool we built focuses on breaking down human-made carcinogens in the environment. Today's cutting-edge chemical analysis tools are computationally expensive and limited in scale, restricting the accuracy and scope of compounds that can be studied. By using IonQ quantum computers, which are naturally suited for chemistry simulations, we have a line of sight to cheaper and broader chemical analysis, which could help us to one day eliminate harmful chemicals contributing to environmental pollution.

These applications are all being accomplished with IonQ Aria, a system with 25 algorithmic qubits or AQ. We are already at work on our next milestone of achieving 29 AQ this year, which will allow our technology to tackle greater challenges. For governments, enterprises, developers and investors we believe the time to engage with quantum is today. I mentioned that the convergence of quantum hardware and application development is accelerating timelines for commercial usefulness of our systems. We are firm believers that this trend will continue. It's this convergence that drove our acquisition of Entangled Networks announced earlier this year. Based in Toronto, Entangled Networks focuses on developing technology that optimizes execution of algorithms on quantum computers.

There are several ways in which we believe the acquisition of the team and assets will accelerate our work at IonQ. In the near term we expect the team's compiler technology will improve the efficiency of algorithms running on existing IonQ Systems. Secondly, as we begin to build systems with multiple cores on a single chip or multiple chips linked together in a single system, Entangled Networks expertise will help us determine how to optimize algorithms across those configurations and design future hardware architectures. With increasing customer engagements and the prospect of commercially relevant use cases insight, we have been laser focused on improving the manufacturability of our systems. This quarter, we announced plans to build the country's first dedicated quantum computing manufacturing facility in Bothell, Washington, situated near Seattle.

Our R&D and manufacturing teams will work together here to develop and assemble quantum computers to fulfill projected customer demand, expanding multiple floors and covering 65,000 square feet the new facility is situated in a thriving technology and innovation hub with ample hardware and software talent. It will also serve as our second quantum data center and our first on the West Coast. We announced the plans for this facility with strong public support from the Washington State Congressional Delegation including U.S. Senate President pro temporary Patty Murray support for IonQ's goal of creating the world's best quantum computers extends to the highest echelons of the U.S. government. And with that I'll turn the call over to Thomas for a more detailed review of our financials.

Thomas?

Thomas Kramer: Thank you, Peter, and thank you to everyone joining us today. Let's walk through this quarters financial results in more detail. As Peter mentioned, we had an excellent quarter recognizing $3.8 million in revenue. For the full year we ended with $11.1 million in revenue. We ended the year with $24.5 million in bookings, which exceeds our original target range for 2022. This also puts us firmly within the range of $23 million to $27 million for the full year that we shared on our Q3 call. Given that we are still at the beginning of our commercialization phase, I want to reiterate my comment from last earnings calls that we expect bookings to continue to be lumpy for quite some time. Moving down the income statement; for the fourth quarter of 2022 our total operating costs and expenses were $27.4 million, up 120% from $12.5 million in the prior year period.

For the full year 2022 that number was $96.9 million, up 138% from $40.8 million in 2021. To break this down further, our research and development costs for the fourth quarter were $13.7 million, up 179% from $4.9 million in the prior year period. For the full year 2022, that number was $44 million up 117% from $20.2 million in 2021. Recall that we are investing heavily in R&D and are increasing our production of our systems to meet projected customer demand. Our sales and marketing costs in the fourth quarter were $2.4 million, up 184% from $849,000 in the prior year period. For the full year 2022 that number was $8.4 million, up 159% from $3.2 million in the full year 2021. This increase was due to us growing our go-to-market function as we continue our investment in our commercialization efforts and we expect that trend to continue as we further expand our sales initiatives.

Our general and administrative costs in the fourth quarter were $9.1 million, up 67% from $5.4 million in the prior year period. For the full year 2022 that number was $36 million, up 162% from $13.7 million in the full year 2021. This increase is largely attributable to a growth in stock based compensation expense, which was $8.9 million for the fourth quarter compared to $1.8 million in the prior year period. Stock based compensation was $31.5 million for the full year 2022, up from $7.7 million in the full year 2021. All of this resulted in the net loss of $18.6 million in the fourth quarter compared to $74.1 million in the prior period, and then net loss of $48.5 million for the full year 2022 versus $106.2 million in 2021. It is important to note that these results include a non-cash gain of $1.8 million for the fourth quarter related to the fair value of warrant liabilities and $30.1 million in non-cash gain for the full year 2022.

We saw an adjusted EBITDA loss for the fourth quarter of $13.3 million compared to an $8 million loss in the prior year period and a loss of $48.7 million for the full year 2022 versus $28.4 million for 2021. Note that we projected an adjusted EBITDA loss for the year of $55 million and have announced $48.7 million in actuals beating our expected plan. Turning now to our balance sheet; cash, cash equivalents and investments as of December 31, 2022 were $537.8 million. We are closely monitoring IonQ's cash. Our diversified strategy and partnership with several large international banking institutions meant that our exposure to recent events in the banking sector was immaterial. We believe that this approach will continue to serve well in the future.

We are confident in our cash position, which should provide us with sufficient reserves to get to profitability without needing to raise additional funds based on our current roadmap. As Peter mentioned earlier, the quantum market is experiencing rapid growth despite the global market headwinds that are currently impacting much of the technology industry. In the face of these challenging market conditions, many companies have been forced to scale back their financial ions. However, IonQ has remained steadfast in our commitment to delivering on our projections. This unwavering dedication to our goals coupled with our unparalleled expertise in cutting edge technology has positioned us as a leading player in the rapidly expanding quantum market.

Looking forward to our full year 2023 outlook, we are introducing a first quarter revenue target of between $3.6 million and $4 million, and we are projecting revenue of between $18.4 million and $18.8 million for the full 2023 fiscal year. Additionally, we anticipate bookings of between $38 million and $42 million for 2023. Finally, we anticipate an adjusted EBITDA loss of $80.5 million for the full year 2023 at the midpoint of our revenue guidance. These projections demonstrate the strength we see in our product offerings and market positioning. With a clear strategy in place and an exceptional team driving our success, we are confident that we will not only meet these targets, but more importantly pave the way for continued growth and success in the years to come.

And with that, I would like to turn the call back over to Peter for some closing remarks.

Peter Chapman: Thank you, Thomas. To close out, allow me to summarize some of our key takeaways from this call. IonQ continues to establish itself as a leader in the global quantum computing industry. Since going public in October 2021 we have consistently met and exceeded our technical and financial goals, a testament to our visionary leadership team, an unwavering commitment to innovation. We believe we are well on track to continue this trend in 2023 and beyond, further solidifying our position in the market. Our industry leading quantum computers are in high demand with an expanding list of blue chip clients using them to solve real world problems. We take great pride in working alongside these customers to demonstrate the power of quantum computers a testament to the effectiveness of our platform.

Our recent acquisition of Entangled Networks operating assets and the announcement of a new facility in Bothell, Washington marked significant milestones in our pursuit of manufacturing scalability to meet the surging demand of our quantum computers. These developments pave a clear path for IonQ to grow. It's positioned as a leader in the industry and deliver exceptional performance and value to our clients. As our superior Trapped Ion approach continues to prove its worth we have witnessed a decrease in the number of true competitors to our systems. This is a testament to the unmatched superiority of our technology and the dedication of our team to driving innovation in the quantum computing industry further cementing IonQ's status as a leader in the field.

And with that I'd like to turn the call over to the operator to begin Q&A.

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