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Everything about Noisy intermediate-scale quantum computing
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Noisy intermediate-scale quantum (NISQ) computing is characterized by quantum processors containing up to 1,000 qubits which are not advanced enough yet for fault-tolerance or large enough to achieve quantum advantage. These processors, which are sensitive to their environment (noisy) and prone to quantum decoherence, are not yet capable of continuous quantum error correction. This intermediate-scale is defined by the quantum volume, which is based on a moderate number of qubits and gate fidelity. The NISQ era is the current state of quantum computer technology, and the term was coined by John Preskill in 2018. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Noisy intermediate-scale quantum computingA 5-minute orientation
- Skim a recent paper: QNet: A Scalable and Noise-Resilient Quantum Neural Network Architecture for Noisy Intermediate-Scale Quantum ComputersInfluential work since 2022
- Pick up a classic book: Quantum Computer SystemsThe most-reprinted book on the subject
- Read the landmark paper: Noisy intermediate-scale quantum computersCited 129 times
- Go sideways: Fault tolerant quantum computingA closely related topic
- Go sideways: Quantum computingA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Noisy intermediate-scale quantum computers
Clinical data classification with noisy intermediate scale quantum computers
Optimal quantum reservoir computing for the noisy intermediate-scale quantum era
Accrediting outputs of noisy intermediate-scale quantum computing devices
Accelerating Lattice Quantum Field Theory Calculations via Interpolator Optimization Using Noisy Intermediate-Scale Quantum Computing
D-NISQ: A reference model for Distributed Noisy Intermediate-Scale Quantum computers
Comparison of quantum-walk implementations on noisy intermediate-scale quantum computers
Preparing valence-bond-solid states on noisy intermediate-scale quantum computers
🆕 Influential since 2022
QNet: A Scalable and Noise-Resilient Quantum Neural Network Architecture for Noisy Intermediate-Scale Quantum Computers
Variational Determination of Multiqubit Geometrical Entanglement in Noisy Intermediate-Scale Quantum Computers
Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer
Parallel quantum chemistry on noisy intermediate-scale quantum computers
Implementation of a quantum division circuit on noisy intermediate-scale quantum devices using dynamic circuits and approximate computing
đź“š Books worth reading
Quantum Computer SystemsYongshan Ding · 2020
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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