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Also known as: Quantum Computing Issues, Challenges in Quantum Computing
The practical challenges—decoherence, noise, error rates, and scaling—that hinder building reliable, large-scale quantum computers and influence cryptographic timelines.
DESCRIPTION
Quantum computing faces NISQ-era constraints: fragile qubits, short coherence times, gate and readout errors, cross-talk, and control complexity. Reliable computation requires error correction with high overhead, demanding many physical qubits per logical qubit. Scaling hardware, cryogenics, and control electronics poses substantial engineering hurdles. These issues slow timelines toward breaking public-key cryptosystems, affecting post-quantum migration planning. Continuous advances in materials, architectures, and error mitigation are narrowing gaps but fault tolerance remains the key milestone.
ALTERNATIVE DEFINITIONS
Wikipedia
Practical quantum computing faces many challenges, including decoherence and noise, which cause errors in quantum operations and limit the time available for computation.
Summarizes the core physical limitations impacting computation time and reliability.
National Academies
Quantum computers face substantial engineering and scientific challenges, including qubit coherence, error rates, and system scaling, that must be overcome to build large, reliable machines.
Highlights the scale, reliability, and engineering barriers from a consensus report.
RELATED TERMS
Quantum Decoherence Noisy Intermediate-Scale Quantum Qubit Fidelity Quantum Volume Crosstalk Cryogenics Error Mitigation Scalability
COMPETING TERMS
Fault-Tolerant Quantum Computing Quantum Error Correction
RELATIONS
- Broader: Quantum Computing
KNOWLEDGE AREAS
Infrastructure Data Security AI Mathematics
TARGET AUDIENCE
Chief Technology Officer Chief Information Security Officer Security Architect Cloud Architect Chief AI Officer
EXTERNAL SOURCES
- Wikipedia - Quantum computing
- NIST - PQC FAQs and timelines context
- arXiv - NISQ-era perspective paper
- IBM Research - Metric relating to system capability
TOP QUESTIONS
What are the main issues for quantum computing today?
Fragile qubits, decoherence, control errors, cross-talk, and scaling challenges dominate. Error correction remains the central obstacle to practical fault-tolerant systems.
Category: Overview
How do these issues affect cryptography?
They delay timelines for breaking RSA/ECC at scale, giving organizations time to migrate to post-quantum cryptography. Planning should still start now.
Category: Impact
What is the NISQ era and why does it matter?
NISQ refers to noisy intermediate-scale quantum devices that lack error correction. Algorithms must tolerate noise and limited circuit depth.
Category: Definition
Why is error correction so demanding?
It requires many physical qubits per logical qubit and low enough error rates, imposing huge overhead in hardware and control systems.
Category: Requirements
What metrics track progress on these issues?
Coherence time, gate fidelity, two-qubit error rates, qubit counts, connectivity, and composite metrics like quantum volume.
Category: Measurement
What is a common misconception about quantum timelines?
That qubit count alone determines capability. Error rates, connectivity, and coherence often matter more than raw qubit numbers.
Category: Misunderstanding
How should CISOs plan amid uncertainty?
Inventory cryptography, adopt crypto-agility, track NIST PQC standards, and pilot migrations. Assume long lead times for change.
Category: Guidance
Which research areas address these issues?
Materials and device physics, error-correcting codes, better compilers, pulse-level control, and cryogenic electronics.
Category: Research
What’s the biggest debate around quantum readiness?
Optimism on rapid scaling versus realism about error correction overhead and engineering complexity. Opinions diverge on timelines to fault tolerance.
Category: Opinions