Photonic Announces Approach to Quantum Resource Estimation

VANCOUVER, BC, December 10, 2025 — Photonic Inc., today announced an approach to Quantum Resource Estimation (QRE) for measuring and comparing quantum performance.This method accounts for the costs of distributed quantum computing using Quantum Low-Density Parity Check (QLDPC) codes. The company said a QRE estimate for Shor’s algorithm has been precisely calculated with Photonic’s high-connectivity SHYPS QLDPC code family on a distributed architecture. This estimate includes the cost of operations within and across multiple systems, establishing a new benchmark for quantum computing.Quantum computing stacks are complex, with interdependent layers of hardware, software, and algorithms. Historically, resource estimates have assumed all qubits reside in a monolithic system, overlooking the additional costs of networking and distributed computation – discounting the challenges inherent in engineering high-performance, post-hoc intermodular links. Yet most commercially valuable quantum algorithms will require hundreds to thousands of logical qubits, which need millions of physical qubits to support them, so today’s simplified estimates do not reflect the true cost of scaling.“Distributed QRE matters because it finally reflects the true cost of scaling quantum systems,” said Dr. Stephanie Simmons, Chief Quantum Officer at Photonic. “By fully accounting for networking and connectivity, we bring realism to resource estimates—enabling apples-to-apples comparisons across vendors and architectures, so the industry can see when quantum applications will move from theory to practice.”Photonic’s distributed QRE, based on their Entanglement First architecture, accounts for inter-module communication costs from the outset, providing actionable, full-stack resource estimates for practical quantum applications. This approach enables development teams to track the impact of hardware, software, and algorithmic improvements, and most importantly, offers the industry a realistic timeline for when key quantum applications will become practical.While recent QRE analyses for Shor’s algorithm set a high bar, they underestimate costs by assuming the algorithm can be completed on monolithic designs that will not be easy to achieve by today’s leading qubit modalities. Photonic’s distributed architecture – designed for scalability – delivers competitive resource forecasts using the same algorithmic approach, but with results that are truly comparable and practical for large-scale deployment.The full logical argument for distributed QRE and resulting qubit counts and runtime on Photonic’s architecture with SHYPS are presented in the whitepaper, “SHYPS to Shor’s: A Call for Distributed QRE,” available for download. Photonic’s latest QRE results will be presented by Dr. Stephanie Simmons, Chief Quantum Officer at Q2B 2025, taking place December 9–11 at the Santa Clara Convention Center in Santa Clara, California.[SPONSORED GUEST ARTICLE] For years, InfiniBand has been the go-to networking technology for high-performance computing (HPC) and AI workloads due to its low latency and lossless transport. But as AI clusters grow to thousands of GPUs and demand open, scalable infrastructure, the industry is shifting. Leading AI infrastructure providers are increasingly moving ….Organizations are leveraging the capabilities of Penguin and NVIDIA to build and operate state-of-the-art generative AI factories. In this Ebook you will learn The Challenges of generative AI Proven AI factory delivery at scale Real-World use cases Download now to read. share share share share email Name *Email *Website ΔIt’s often said that supercomputers of a few decades ago pack less power than today’s smart watches. Now we have a company, Tiiny AI Inc., claiming to have built the world’s smallest personal AI supercomputer that can run a 120-billion-parameter large language model on-device — without cloud connectivity, servers or GPUs.