A polynomial-time classical algorithm for noisy random circuit sampling
arXiv:2211.03999 · doi:10.1145/3564246.3585234
Abstract
We give a polynomial time classical algorithm for sampling from the output distribution of a noisy random quantum circuit in the regime of anti-concentration to within inverse polynomial total variation distance. This gives strong evidence that, in the presence of a constant rate of noise per gate, random circuit sampling (RCS) cannot be the basis of a scalable experimental violation of the extended Church-Turing thesis. Our algorithm is not practical in its current form, and does not address finite-size RCS based quantum supremacy experiments.
27 pages, 2 figures
References in corpus (3)
Cited by in corpus (41)
- A Race Track Trapped-Ion Quantum Processor
- A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
- Beyond-classical computation in quantum simulation
- Phase transition in Random Circuit Sampling
- Does provable absence of barren plateaus imply classical simulability?
- A polynomial-time classical algorithm for noisy random circuit sampling
- Variational Benchmarks for Quantum Many-Body Problems
- Classical algorithm for simulating experimental Gaussian boson sampling
- Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
- Artificial Intelligence for Quantum Computing
- Bell sampling from quantum circuits
- Spoofing cross entropy measure in boson sampling
- Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
- Classically estimating observables of noiseless quantum circuits
- Quantum Convolutional Neural Networks are Effectively Classically Simulable
- A Practical Introduction to Benchmarking and Characterization of Quantum Computers
- Assessing and Advancing the Potential of Quantum Computing: A NASA Case Study
- Pauli path simulations of noisy quantum circuits beyond average case
- Quantum many-body simulations with PauliStrings.jl
- Noise-induced shallow circuits and absence of barren plateaus
- On the Pauli Spectrum of QAC0
- Robust sparse IQP sampling in constant depth
- Learning a quantum channel from its steady-state
- Quantum Ruzsa Divergence to Quantify Magic
- Verifiable measurement-based quantum random sampling with trapped ions
- Simulating quantum circuits with arbitrary local noise using Pauli Propagation
- Designs from magic-augmented Clifford circuits
- Efficient quantum-enhanced classical simulation for patches of quantum landscapes
- Error mitigation and circuit division for early fault-tolerant quantum phase estimation
- Fast pseudorandom quantum state generators via inflationary quantum gates
- Calibrating quantum gates up to 52 qubits in a superconducting processor
- Limitations of Noisy Quantum Devices in Computational and Entangling Power
- Survey on Computational Applications of Tensor Network Simulations
- Quantum Local Differential Privacy and Quantum Statistical Query Model
- Macroproperties vs. Microstates in the Classical Simulation of Critical Phenomena in Quench Dynamics of 1D Ising Models
- Efficient Online Quantum Circuit Learning with No Upfront Training
- Artificial intelligence for representing and characterizing quantum systems
- A graph-theoretic approach to chaos and complexity in quantum systems
- Efficient Quantum Circuit Simulation by Tensor Network Methods on Modern GPUs
- Sampling (noisy) quantum circuits through randomized rounding
- Utility-Scale Quantum State Preparation: Classical Training using Pauli Path Simulation