# Quantum Computing Atlas

A source-led, machine-readable research library for quantum computing concepts, hardware, error correction, algorithms, limitations, and near-term applications.

Version: 0.1.0
Evidence cutoff: 2026-07-28
Canonical URL: https://research.mahastrategies.com/atlas/quantum-computing
Claims JSON: https://research.mahastrategies.com/atlas/quantum-computing/claims.json
Sources JSON: https://research.mahastrategies.com/atlas/quantum-computing/sources.json
Methodology: https://research.mahastrategies.com/atlas/quantum-computing/methodology

## Boundary
This edition includes source-bounded claims only. It excludes forecasts, investment advice, platform rankings, vendor roadmaps as evidence, and performance leaderboards.

## Claims
- qc-001 [established]: A qubit is a quantum information carrier whose state can be prepared, transformed, and measured; it is not simply a classical bit with two labels.
- qc-002 [established]: Superconducting circuits, trapped ions, neutral atoms, photonics, and semiconductor spins are distinct hardware approaches with different engineering trade-offs.
- qc-003 [established]: Noise and imperfect operations limit the depth and reliability of computations performed directly on physical qubits.
- qc-004 [established]: Quantum error correction protects logical quantum information by distributing it across multiple physical qubits and repeatedly extracting error information.
- qc-005 [established]: Below-threshold surface-code memory performance has been experimentally reported, but it is not yet a demonstration of general-purpose fault-tolerant quantum computing.
- qc-006 [established]: Shor’s algorithm gives polynomial-time quantum algorithms for integer factorization and discrete logarithms on a suitable quantum computer.
- qc-007 [established]: Grover’s search algorithm provides a quadratic query-speedup for unstructured search in its oracle model.
- qc-008 [established]: Simulating quantum physical systems is a foundational motivation for quantum computers.
- qc-009 [established]: Random-circuit sampling experiments demonstrate control over specific computational tasks, not a general-purpose application advantage.
- qc-010 [active-research]: Whether a NISQ device delivers a durable, practically relevant advantage for a specific real-world workload remains an active research question.
- qc-011 [active-research]: The physical resources, decoding, control, and integration needed for useful large-scale fault-tolerant computation remain active engineering and research problems.
- qc-012 [established]: Claims about quantum applications require task-specific comparisons to credible classical baselines.

## Sources
- Quantum Information Science (2025) — https://www.nasa.gov/quantum-information-science/
- Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer (1995) — https://arxiv.org/abs/quant-ph/9508027
- A Fast Quantum Mechanical Algorithm for Database Search (1996) — https://arxiv.org/abs/quant-ph/9605043
- Simulating physics with computers (1982) — https://doi.org/10.1007/BF02650179
- Quantum Computing in the NISQ era and beyond (2018) — https://arxiv.org/abs/1801.00862
- Surface codes: Towards practical large-scale quantum computation (2012) — https://arxiv.org/abs/1208.0928
- Quantum error correction below the surface code threshold (2025) — https://doi.org/10.1038/s41586-024-08449-y
- Quantum supremacy using a programmable superconducting processor (2019) — https://doi.org/10.1038/s41586-019-1666-5
- Trapped-ion quantum computing: Progress and challenges (2019) — https://doi.org/10.1007/s11128-019-2175-2
- Quantum Information Science and Technology Roadmap (2024) — https://www.quantum.gov/wp-content/uploads/2024/12/DOE_QIS_Roadmap_Final.pdf