About QRE
This is the seventh international workshop on the emerging field of Quantum Resource Estimation (QRE), benchmarking and performance analytics. The previous editions were QRE2025 QRE2024 QRE2023, QRE2022, QRE2021, QRE2020 and QRE2019.
The focus of this year's workshop are decoders for quantum error correcting codes. We hope to encourage participation from those working in quantum algorithm optimization, error-correction, architecture design, quantum compilation, classical control and resource benchmarking.
The workshop is focused around developing techniques and tools that aid quantum software and algorithm design, informed by the realities of the hardware architectures. QRE shifts the perspective from complexity theoretic arguments to quantitative computer architecture arguments.
The goal is to reduce the physical resource1 costs for interesting quantum algorithms as quickly as possible. Small-scale, cloud-based NISQ machines sparked the interest of exact, realistic and non asymptotic resource estimations. It is still uncertain if any valuable quantum algorithm2 is possible without incorporating costly error-correction protocols that make estimation, benchmarking and optimization far more complex. QRE is the forum to share research on the near term feasibility of interesting2 quantum algorithms.
Organisers
Alexandru Paler, Aalto University, Espoo, Finland
Simon Devitt, University of Technology, Sydney, Australia
Daniel Herr, d-fine, Zurich, Switzerland
George Watkins, Canada
1Physical resources for executing a quantum algorithm can vary significantly. Resource costs are influenced by the resultant quantum circuits through their structure and designed precision. Additional overheads are introduced by the physical constraints of the quantum hardware. Quantum error correction is also resource hungry. Even the design and the performance of the classical control software that compiles algorithms and controls the quantum computer has a non-negligible impact on resources.
2Algorithm that outperforms classical supercomputers either in a theoretical or monetary sense.
Call for Papers
Quantum computation has a growing number of promising application areas such as quantum chemistry, quantum optimisation and finance. However, the first industrially relevant and scalable quantum computer seems to be at least a decade away. Therefore, one of the most pressing questions is "How many physical qubits and how much time is necessary to execute a quantum algorithm on a selected hardware platform where the algorithmic output is more important than the fact a quantum computer was used to calculate it?"
By examining this question in depth we can motivate continued investment for quantum computing, further enable resource friendly quantum algorithm development and continue to push technological advances that will lead to a scalable quantum computing ecosystem.
The workshop will bring together researchers to discuss new methods and directions needed to develop, as soon as possible, the tools to:
- accurately analyze and benchmark complex quantum algorithms
- adapt error-correction techniques
- refine classical control and hardware microarchitectures
- enable scientifically and commercially relavant quantum applications
Research papers, tutorials, software and other demonstrations, and work-in-progress reports are within the scope of the workshop. Invited talks by leading international experts will complete the program. Contributions on all areas of quantum performance analytics are welcome:
- High level quantum circuit analytics.
- Fault-tolerant quantum circuit analytics.
- Clifford+T optimisation strategies.
- Resource efficient surface code implementations.
- Surface code decoders.
- Practical quantitative analysis of surface code alternatives.
- Noisy Intermediate Scale Quantum (NISQ) evaluation.
Important Dates
Venue
QRE2026 will be held in Toronto. More TBA.
Invited Speakers
Event Schedule - all times are EET (Helsinki)
Sponsors
