Azure Quantum: what changed.
The recorded research and its supporting evidence.
This is a historical record. Read the current company research →Evidence or assessment clarified · axis ratings unchanged
Assessment reviewed 7 Sept 2026 · Research reviewed 7 Sept 2026What changed
- Research evidence: What is Azure Quantum?
- Previously
Documents cloud-workspace requirements, provider hardware submission and the open-source QDK with several programming-language paths.
- Source title
- What is Azure Quantum?
- Source publication date
- Not recorded
- Source type
- technical
- Marked independent
- No
- Now
Documents cloud-workspace requirements, provider hardware submission and the open-source QDK with several programming-language paths.
- Source title
- What is Azure Quantum?
- Source publication date
- Not recorded
- Source type
- technical
- Marked independent
- No
- Where to look
- QDK and Azure Quantum workspace prerequisites
- Source checked
- 12 Nov 2026
- Source or product version
- Living Microsoft overview checked 12 November 2026
- Limitations
- QDK development does not require an Azure account; hardware submissions require a configured workspace/provider.
- Retained for this claim (1)
- Research evidence: What is the Microsoft Quantum resource estimator?
- Previously
Describes application, architecture, error-correction and error-budget inputs, supported representations and resulting physical-resource estimates.
- Source title
- What is the Microsoft Quantum resource estimator?
- Source publication date
- Not recorded
- Source type
- technical
- Marked independent
- No
- Now
The current QDK Python resource estimator is local and open source. It models application, hardware, error-correction and error-budget inputs to estimate physical resources; estimates are not measured QPU results.
- Source title
- What is the Microsoft Quantum resource estimator?
- Source publication date
- Not recorded
- Source type
- technical
- Marked independent
- No
- Where to look
- Resource estimator overview and what it estimates
- Source checked
- 12 Nov 2026
- Source or product version
- Living Microsoft documentation checked 12 November
- Limitations
- Current QDK Python estimator is local/open source; resource outputs are model estimates, not measured QPU performance.
- Retained for this claim (1)
- Research evidence: An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications
- Previously
PNNL researchers use Azure resource estimation alongside NWQSim simulations for power-grid and heat-transfer studies, exposing resource-scaling obstacles.
- Source title
- An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications
- Source publication date
- 29 Apr 2024
- Source type
- paper
- Marked independent
- Yes
- Now
PNNL researchers use Azure resource estimation alongside NWQSim simulations for power-grid and heat-transfer studies, exposing resource-scaling obstacles.
- Source title
- An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications
- Source publication date
- 29 Apr 2024
- Source type
- paper
- Marked independent
- Yes
- Where to look
- Abstract; submission history
- Source checked
- 12 Nov 2026
- Source or product version
- arXiv:2404.19067v3, 6 August 2025
- Limitations
- HHL simulations and resource models for scientific problems, not executed fault-tolerant algorithms.
- Retained for this claim (1)
- Research evidence: Three Months in the Life of Cloud Quantum Computing
- Previously
ARLIS researchers evaluate real cloud access, executions and costs across Azure and Braket; this is a historical user study.
- Source title
- Three Months in the Life of Cloud Quantum Computing
- Source publication date
- 15 Jan 2026
- Source type
- paper
- Marked independent
- Yes
- Now
ARLIS researchers evaluate real cloud access, executions and costs across Azure and Braket; this is a historical user study.
- Source title
- Three Months in the Life of Cloud Quantum Computing
- Source publication date
- 15 Jan 2026
- Source type
- paper
- Marked independent
- Yes
- Where to look
- Abstract and historical study scope
- Source checked
- 12 Nov 2026
- Source or product version
- arXiv:2601.09943v1, 15 January 2026
- Limitations
- One algorithm/default-tooling cloud study; historical cost and availability.
- Retained for this claim (1)
Recorded dates use UTC and show when QubitWire saved the comparison. Review dates show the evidence check; neither is a new claim about when the underlying event happened. This view preserves the original research and assessment methodology.