The Quantum Era
QuEra Computing Inc.
QuEra is putting quantum to work for enterprise innovators, HPC centers, and governments
A curated collection of interesting scientific and other quantum computing articles, as picked by the team at QuEra Computing.
QuEra Launches Open-Source Package to Simulate Logical Quantum Circuits at Scale
QuEra Computing has released Tsim, an open-source, GPU-accelerated simulator designed to model large-scale quantum circuits, including those needed for quantum error correction. The tool allows researchers to efficiently test and optimize complex quantum systems before full-scale hardware is available, enabling faster iteration and development. By making high-performance simulation more accessible, the release supports progress toward building reliable, fault-tolerant quantum computers. Check out https://github.com/QuEraComputing/tsim.
“We built Tsim for our own research and are releasing it because the entire QEC community benefits when researchers can simulate realistic fault-tolerant circuits quickly and at scale,” said Shengtao Wang, VP of Algorithms and Applications at QuEra Computing. “By open-sourcing Tsim, QuEra has extended its fault-tolerant momentum from hardware into software, giving the research community tools to design and validate the protocols that those machines will run.”
Open doors, open source
We believe quantum computing advances faster when the community grows together. That's why we host two monthly calls, open to everyone:
QuEra Office Hours (2nd Wednesday of each month) — An informal session with QuEra scientists to discuss neutral atoms, the 256-qubit Aquila, Python and Julia access to Bloqade, and anything QuEra-related.
Open-Source Community Call (4th Wednesday of each month) — A conversation with QuEra open-source leaders about Kirin, Bloqade, and other QuEra open-source projects.
No sales pitch, no slide deck. Just real conversations with the people building the technology.
Scientific Articles
Reducing the Number of Qubits in Quantum Discrete Logarithms on Elliptic Curves
A recent study presents a more space-efficient quantum algorithm for solving elliptic-curve discrete logarithms, a key problem underlying modern cryptographic security. For a 256-bit curve, the approach reduces the required logical qubits from 2,124 to 1,098, significantly lowering hardware demands. However, this improvement comes with a substantial increase in computational cost, requiring approximately 300 billion Toffoli gates compared to about 1 billion in earlier estimates. The results highlight an important space–time trade-off in quantum algorithm design, emphasizing that reducing qubit counts may significantly increase execution complexity in fault-tolerant quantum systems.
The color code, the surface code, and the transversal CNOT: NP-hardness of minimum-weight decoding
This work investigates the computational complexity of decoding in fault-tolerant quantum computing, a key step in maintaining reliable quantum operations. The authors prove that minimum-weight decoding is NP-hard across several practically relevant scenarios, including the color code with Pauli Z errors and the surface code with Pauli X, Y, and Z errors, as well as during transversal CNOT operations with additional noise. These findings show that even foundational decoding tasks can be computationally intractable, highlighting a critical gap between exact decoding methods and the approximate techniques used in real-world quantum systems.
STAR-Magic Mutation: Even More Efficient Analog Rotation Gates for Early Fault-Tolerant Quantum Computing
Researchers introduce "STAR-magic mutation," a protocol designed to reduce the overhead of implementing small-angle logical rotation gates, one of the key bottlenecks in early fault-tolerant quantum computing. By combining transversal multi-rotation techniques with magic-state cultivation, the approach achieves improved error scaling, maintaining linear dependence on physical error rates while enhancing performance with respect to rotation angles. The work also integrates this method into a broader early fault-tolerant framework, "STAR ver. 3," highlighting its potential to enable more efficient quantum simulations of complex many-body systems beyond classical capabilities.
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Correlated Atom Loss as a Resource for Quantum Error Correction
This proposal introduces RASCqL (Reaction-time-limited Architecture for Space-time-efficient Complex qLDPC Logic), a co-designed architecture aimed at making qLDPC codes more practical for large-scale fault-tolerant quantum computing. The approach integrates code design with reconfigurable neutral-atom arrays, enabling complex operations such as quantum arithmetic, table lookups, and magic-state distillation to be executed efficiently. The study suggests that RASCqL could achieve space-time performance comparable to leading surface-code approaches while reducing the required qubit footprint by 2× to 7× at realistic error rates, highlighting the potential of neutral-atom architectures for scalable fault-tolerant systems.
Additional Articles
5 Pillars of Building a State Quantum Computing Program
Quantum computing is transitioning from a research-focused field to an early-stage deployment technology, making this a critical window for states to shape future economic and innovation ecosystems. The article outlines a five-pillar framework for building a state-level quantum strategy: developing a skilled workforce, supporting quantum-adjacent supply chains, strengthening university and national lab partnerships, integrating quantum systems with existing HPC and AI infrastructure, and aligning efforts across government agencies. By acting early and strategically, states can position themselves as hubs in the emerging quantum economy.
Why Universities Should Anchor State Quantum Computing Initiatives
Universities are positioned as central drivers of emerging quantum ecosystems by investing early in talent, research, and infrastructure. The article emphasizes their role in bringing together industry, government, national labs, and community colleges to build collaborative regional networks that support workforce development and innovation. As quantum computing moves into an early deployment phase, institutions are encouraged to focus on "low regret" investments such as interdisciplinary programs and advanced computing capabilities that strengthen long-term readiness.
Upcoming Events
SAS Innovate 2026
🗓️ April 27–30, 2026 -- 📍 Grapevine, TX -- Register
Quantum Australia
🗓️ April 29–30, 2026 -- 📍 Adelaide, South Australia -- Register
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