Handbook for Quantifying Robustness of Magic
arXiv:2311.01362 · doi:10.22331/q-2024-09-05-1461
Abstract
The nonstabilizerness, or magic, is an essential quantum resource to perform universal quantum computation. Robustness of magic (RoM) in particular characterizes the degree of usefulness of a given quantum state for non-Clifford operation. While the mathematical formalism of RoM can be given in a concise manner, it is extremely challenging to determine the RoM in practice, since it involves superexponentially many pure stabilizer states. In this work, we present efficient novel algorithms to compute the RoM. The crucial technique is a subroutine that achieves the remarkable features in calculation of overlaps between pure stabilizer states: (i) the time complexity per each stabilizer is reduced exponentially, (ii) the space complexity is reduced superexponentially. Based on this subroutine, we present algorithms to compute the RoM for arbitrary states up to qubits on a laptop, while brute-force methods require a memory size of 86 TiB. As a byproduct, the proposed subroutine allows us to simulate the stabilizer fidelity up to qubits, for which naive methods require memory size of 86 PiB so that any state-of-the-art classical computer cannot execute the computation. We further propose novel algorithms that utilize the preknowledge on the structure of target quantum state such as the permutation symmetry of disentanglement, and numerically demonstrate our state-of-the-art results for copies of magic states and partially disentangled quantum states. The series of algorithms constitute a comprehensive ``handbook'' to scale up the computation of the RoM, and we envision that the proposed technique applies to the computation of other quantum resource measures as well.
17+8 pages, 9+2 figures
References in corpus (25)
- Improved Simulation of Stabilizer Circuits
- Universal Quantum Computation with ideal Clifford gates and noisy ancillas
- How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits
- Surface code quantum computing by lattice surgery
- Application of a resource theory for magic states to fault-tolerant quantum computing
- A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery
- Discrete phase space based on finite fields
- Negative Quasi-Probability as a Resource for Quantum Computation
- Trading classical and quantum computational resources
- Even more efficient quantum computations of chemistry through tensor hypercontraction
- Stabilizer Rényi entropy
- Simulation of quantum circuits by low-rank stabilizer decompositions
- Quantum computing enhanced computational catalysis
- Estimating outcome probabilities of quantum circuits using quasiprobabilities
- Quantifying quantum speedups: improved classical simulation from tighter magic monotones
- Quantifying magic for multi-qubit operations
- Robustness of Magic and Symmetries of the Stabiliser Polytope
- Experimental Estimation of Quantum State Properties from Classical Shadows
- Efficient quantum algorithms for stabilizer entropies
- Hunting for quantum-classical crossover in condensed matter problems
- Quantifying Qubit Magic Resource with Gottesman-Kitaev-Preskill Encoding
- Tensorized Pauli decomposition algorithm
- Classical simulation of non-Gaussian fermionic circuits
- PauliComposer: Compute Tensor Products of Pauli Matrices Efficiently
- On the Geometry of Stabilizer States
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- Tensorized Pauli decomposition algorithm
- Stabilizer Rényi Entropy and Conformal Field Theory
- A nonstabilizerness monotone from stabilizerness asymmetry
- Fermionic Magic Resources of Quantum Many-Body Systems
- Computing quantum magic of state vectors
- Prepare-and-Magic: Semi-Device Independent Magic Certification in the Prepare-and-Measure Scenario
- A trace distance-based geometric analysis of the stabilizer polytope for few-qubit systems
- Faster computation of nonstabilizerness
- Nonstabilizerness and Error Resilience in Noisy Quantum Circuits
- Robustness of Magic in the quantum Ising chain via Quantum Monte Carlo tomography
- On the Hardness of Measuring Magic
- Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization