At IEEE Quantum Week in Toronto, PsiQuantum is showcasing new tools designed to accelerate development of fault-tolerant quantum algorithms. Mariia Mykhailova, Michał Stęchły, and Sean Greenaway will present a tutorial Sunday demonstrating the PsiQuantum Development Kit, an open-access toolkit supporting algorithm development, validation, and analysis, the company says. Attendees, and those following along remotely, can access tutorial materials through the GitHub repository, allowing researchers to immediately utilize and build upon PsiQuantum’s resources. The company is also presenting research detailing quantum resource estimation for simulating complex physical models, like the Sachdev-Ye-Kitaev model, using its Construct platform.
PsiQuantum Development Kit Enables Fault-Tolerant Algorithm Design
PsiQuantum’s Development Kit tutorial, scheduled for Sunday, September 13th from 1 pm to 4:30 pm in room 605, will center on the practical application of fault-tolerant quantum algorithms, a critical area for advancing quantum computing beyond its current limitations. The kit supports development, validation, and analysis of these algorithms, offering researchers a means to move beyond theoretical models and address the challenges of real-world quantum hardware.
Attendees will gain hands-on experience implementing algorithms and validating them using the PsiQDK tools, focusing on the SYK model and resource analysis techniques. The workshop extends beyond simple implementation, introducing concepts essential for quantum resource estimation and demonstrating tools for numeric and symbolic analysis of program requirements. PsiQuantum intends these implementations and estimates to be valuable for continued research into the SYK model, allowing researchers to study how techniques and resource needs vary with different approaches.
A preprint detailing the underlying research is available on arXiv, and the associated code, including the PsiQDK implementation of the algorithms, is hosted on GitHub at https://github. com/b-goldsmith/syk-simulation, fostering open access and collaborative development. Mariia Mykhailova and Matija Zesko will lead a tutorial on Monday, September 14th, from 3 to 4 pm in room 713B, outlining a complete educational program built around the kit’s capabilities.
This educational focus highlights the importance of workforce development in the field, ensuring a pipeline of skilled professionals capable of designing and implementing future quantum algorithms. The company believes that algorithm developers benefit from realistic hardware assumptions, while hardware architecture design can be guided by the requirements of promising algorithms.
PsiQuantum, founded in 2016 and headquartered in Palo Alto, develops photonic quantum computers at scale, utilizing barium titanate integration to pursue fault-tolerant, utility-scale quantum computation. With approximately 450 people and over $1.67 billion in private funding, the company has secured a facility at Moreton Bay Central. This ambitious project, coupled with partnerships like the one with Brookhaven National Laboratory to use PsiQuantum’s Construct software platform for research into fault-tolerant quantum computers, demonstrates PsiQuantum’s commitment to both hardware and software development, according to the company.
“Quantum Phase Estimation of a Qubitized Hamiltonian” is one area of ongoing research the team is sharing at the conference, showcasing their latest advancements. The company’s work with Airbus to develop fault-tolerant quantum algorithms for aerospace applications further underscores its focus on practical, real-world applications of quantum computing.
SYK Model Simulation via Trotterization, qDRIFT, and Qubitization
Simulating the Sachdev-Ye-Kitaev (SYK) model offers a pathway to explore complex physics with near-term fault-tolerant quantum computers, requiring comparatively modest resources to investigate holographic duality and the AdS/CFT correspondence. PsiQuantum researchers presented analysis of three distinct simulation approaches, Trotterization, qDRIFT, and asymmetric qubitization with Quantum Signal Processing, using the company’s Construct platform to assess their performance. An open-source library implementing SYK simulation with all three methods was released, enabling detailed quantum resource estimation for qubit and T gate counts as functions of Majorana mode number and desired precision.
Resource estimates revealed trade-offs between the approaches; while qDRIFT and Trotterization demonstrated lower qubit requirements, the substantial number of T gates needed shifted the advantage toward asymmetric qubitization in most scenarios. This finding aligns with prior theoretical predictions, validating the team’s computational results and providing a practical benchmark for future algorithm development.
The team’s work highlights the importance of considering architectural details when selecting compilation strategies, moving beyond reliance on generic metrics like non-Clifford gate count. Further refinement of circuit compilation techniques was demonstrated through active-volume-aware optimization of the ground-state energy estimation algorithm for the two-dimensional Fermi-Hubbard model. Utilizing quantum phase estimation and Trotterized time evolution, the researchers achieved up to a 3.9x reduction in active volume, a critical metric for scaling quantum computations.
This reduction, combined with advances in execution scheduling, further minimizes estimated resource requirements, suggesting a path toward more efficient quantum simulations of complex materials. “Circuit compilation choices will increasingly depend on details of the underlying architecture rather than solely on generic proxies such as non-Clifford count,” said Harriet Apel, emphasizing the shift toward hardware-aware algorithm design. PsiQuantum’s commitment to open-source tools extends beyond algorithm implementation, with the GitHub repository hosting materials for hands-on learning and experimentation.
PsiQuantum Curriculum: Teaching Fault-Tolerant Quantum Computing
PsiQuantum is detailing a comprehensive curriculum for teaching fault-tolerant quantum computing at IEEE Quantum Week, utilizing its Development Kit to provide hands-on experience with algorithm development, validation, and resource estimation. The curriculum, presented in a tutorial led by Mariia Mykhailova, Michał Stęchły, and Matija Zesko, aims to equip learners with practical skills for building quantum programs designed for architectures that correct errors, a critical step toward scalable quantum computation.
This focus on education extends PsiQuantum’s commitment to open-source tools beyond mere implementation, fostering a collaborative environment for advancing the field. The corresponding implementation of the algorithms is available via a GitHub repository, facilitating broader access and reproducibility. PsiQuantum’s educational efforts are informed by recent research into large-scale active volume estimation, a key metric for assessing the feasibility of quantum computations.
Utilizing the open-access PsiQuantum Workbench, researchers are obtaining practical routes to evaluating detailed resource metrics for complex circuits, where analytical expressions become difficult to derive. This emphasis on architecture-aware compilation and resource estimation reflects a growing recognition that practical, early fault-tolerant quantum computing demands a holistic approach, considering both algorithmic design and underlying hardware constraints. The researchers note the need for a deeper understanding of the interplay between software and hardware.
The company, founded in 2016 and employing about 450 people, has secured $1.67B+ in funding, supporting its ambitious project to construct a facility in Australia, the company says. PsiQuantum also collaborates with NCCN Japan and Mitsubishi Chemical, utilizing Construct in workforce development programs focused on quantum computing and drug discovery. The launch of psiqdk, a meta-package for the Quantum Development Kit, further streamlines access to the tools and resources needed for quantum algorithm development and visualization.
Active Volume Compilation Reduces Resources for Fermi-Hubbard Estimation
PsiQuantum researchers achieved a 3.9x reduction in active volume during the estimation of ground-state energy for the two-dimensional Fermi-Hubbard model. The advance demonstrates a shift toward hardware-aware compilation strategies important for realizing practical, early fault-tolerant quantum computing. This practical route to assessing resource requirements allows algorithm developers to benefit from realistic hardware assumptions, guiding optimization efforts beyond idealized models. Simultaneously, hardware architecture design can be directly informed by the demands of the most promising analyzed algorithms, creating a feedback loop for improved system performance.
Harriet Apel presented the findings on Tuesday, September 15th, detailing how the active volume architecture, coupled with recent advances in execution scheduling, further reduces estimated resource needs. This approach contrasts with earlier methods that prioritized abstract circuit optimization without considering the physical limitations of the quantum processor. Beyond the specific Fermi-Hubbard model, the methodology has broader implications for quantum algorithm design.
Michał Stęchły participated in a panel discussion examining the practical obstacles facing the field, emphasizing the critical interface between software, compilation, and hardware for quantum error correction. The panel brought together experts from various institutions to address the challenges of translating theoretical algorithms into functioning quantum programs. PsiQuantum’s commitment to open-source tools, exemplified by the PsiQuantum Development Kit and Workbench, facilitates collaborative research and accelerates progress in fault-tolerant quantum computing.
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