Improved Digital Quantum Simulation by Non-Unitary Channels
- URL: http://arxiv.org/abs/2307.13028v1
- Date: Mon, 24 Jul 2023 18:00:02 GMT
- Title: Improved Digital Quantum Simulation by Non-Unitary Channels
- Authors: W. Gong, Yaroslav Kharkov, Minh C. Tran, Przemyslaw Bienias, Alexey V.
Gorshkov
- Abstract summary: We study the performance of non-unitary simulation channels and consider the error structure of channels constructed from a weighted average of unitary circuits.
We show that averaging over just a few simulation circuits can significantly reduce the Trotterization error for both single-step short-time and multi-step long-time simulations.
- Score: 0.5999777817331317
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Simulating quantum systems is one of the most promising avenues to harness
the computational power of quantum computers. However, hardware errors in noisy
near-term devices remain a major obstacle for applications. Ideas based on the
randomization of Suzuki-Trotter product formulas have been shown to be a
powerful approach to reducing the errors of quantum simulation and lowering the
gate count. In this paper, we study the performance of non-unitary simulation
channels and consider the error structure of channels constructed from a
weighted average of unitary circuits. We show that averaging over just a few
simulation circuits can significantly reduce the Trotterization error for both
single-step short-time and multi-step long-time simulations. We focus our
analysis on two approaches for constructing circuit ensembles for averaging:
(i) permuting the order of the terms in the Hamiltonian and (ii) applying a set
of global symmetry transformations. We compare our analytical error bounds to
empirical performance and show that empirical error reduction surpasses our
analytical estimates in most cases. Finally, we test our method on an IonQ
trapped-ion quantum computer accessed via the Amazon Braket cloud platform, and
benchmark the performance of the averaging approach.
Related papers
- A Modified Depolarization Approach for Efficient Quantum Machine Learning [0.0]
We propose a modified representation for a single-qubit depolarization channel with two Kraus operators.
Our approach reduces the computational complexity from six to four matrix multiplications per execution of a channel.
This simplified noise model enables more scalable simulations of quantum circuits under depolarization.
arXiv Detail & Related papers (2024-04-10T20:17:40Z) - Classical simulations of noisy variational quantum circuits [0.0]
Noisely affects quantum computations so that they not only become less accurate but also easier to simulate classically as systems scale up.
We construct a classical simulation algorithm, LOWESA, for estimating expectation values of noisy parameterised quantum circuits.
arXiv Detail & Related papers (2023-06-08T17:52:30Z) - Error-Mitigated Quantum Simulation of Interacting Fermions with Trapped
Ions [17.707261555353682]
probabilistic error cancellation (PEC) has been proposed as a general and systematic protocol.
PEC has been tested in two-qubit systems and a superconducting multi-qubit system.
We benchmark PEC using up to four trapped-ion qubits.
arXiv Detail & Related papers (2023-02-21T04:27:30Z) - Importance sampling for stochastic quantum simulations [68.8204255655161]
We introduce the qDrift protocol, which builds random product formulas by sampling from the Hamiltonian according to the coefficients.
We show that the simulation cost can be reduced while achieving the same accuracy, by considering the individual simulation cost during the sampling stage.
Results are confirmed by numerical simulations performed on a lattice nuclear effective field theory.
arXiv Detail & Related papers (2022-12-12T15:06:32Z) - Numerical Simulations of Noisy Quantum Circuits for Computational
Chemistry [51.827942608832025]
Near-term quantum computers can calculate the ground-state properties of small molecules.
We show how the structure of the computational ansatz as well as the errors induced by device noise affect the calculation.
arXiv Detail & Related papers (2021-12-31T16:33:10Z) - Simulating the Mott transition on a noisy digital quantum computer via
Cartan-based fast-forwarding circuits [62.73367618671969]
Dynamical mean-field theory (DMFT) maps the local Green's function of the Hubbard model to that of the Anderson impurity model.
Quantum and hybrid quantum-classical algorithms have been proposed to efficiently solve impurity models.
This work presents the first computation of the Mott phase transition using noisy digital quantum hardware.
arXiv Detail & Related papers (2021-12-10T17:32:15Z) - Quantum algorithms for quantum dynamics: A performance study on the
spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator.
variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware.
We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z) - Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs.
Coded Systems [69.33243249411113]
We show that Pauli errors incur the lowest sampling overhead among a large class of realistic quantum channels.
We conceive a scheme amalgamating QEM with quantum channel coding, and analyse its sampling overhead reduction compared to pure QEM.
arXiv Detail & Related papers (2020-12-15T15:51:27Z) - Hamiltonian Simulation Algorithms for Near-Term Quantum Hardware [6.445605125467574]
We develop quantum algorithms for Hamiltonian simulation "one level below" the circuit model.
We analyse the impact of these techniques under the standard error model.
We derive analytic circuit identities for efficiently synthesising multi-qubit evolutions from two-qubit interactions.
arXiv Detail & Related papers (2020-03-15T18:22:02Z) - Term Grouping and Travelling Salesperson for Digital Quantum Simulation [6.945601123742983]
Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing.
The large number of quantum gates required for emulating the complete second quantization form of the Hamiltonian makes such an approach unsuitable for near-term devices.
We propose a new term ordering strategy, max-commute-tsp, that simultaneously mitigates both algorithmic and physical errors.
arXiv Detail & Related papers (2020-01-16T18:33:24Z) - Efficient classical simulation of random shallow 2D quantum circuits [104.50546079040298]
Random quantum circuits are commonly viewed as hard to simulate classically.
We show that approximate simulation of typical instances is almost as hard as exact simulation.
We also conjecture that sufficiently shallow random circuits are efficiently simulable more generally.
arXiv Detail & Related papers (2019-12-31T19:00:00Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.