Classically estimating observables of noiseless quantum circuits
- URL: http://arxiv.org/abs/2409.01706v2
- Date: Tue, 12 Aug 2025 12:42:04 GMT
- Title: Classically estimating observables of noiseless quantum circuits
- Authors: Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, M. Cerezo, Zoƫ Holmes, Hsin-Yuan Huang,
- Abstract summary: We present a classical algorithm for estimating expectation values of arbitrary observables on random unstructured quantum circuits.<n>Our results show that estimating observables of quantum circuits exhibiting chaotic and locally scrambling behavior is classically tractable across all geometries.
- Score: 36.688706661620905
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present a classical algorithm based on Pauli propagation for estimating expectation values of arbitrary observables on random unstructured quantum circuits across all circuit architectures and depths, including those with all-to-all connectivity. We prove that for any architecture where each circuit layer is randomly sampled from a distribution invariant under single-qubit rotations, our algorithm achieves a small error $\varepsilon$ on all circuits except for a small fraction $\delta$. The computational time is polynomial in qubit count and circuit depth for any small constant $\varepsilon, \delta$, and quasi-polynomial for inverse-polynomially small $\varepsilon, \delta$. Our results show that estimating observables of quantum circuits exhibiting chaotic and locally scrambling behavior is classically tractable across all geometries. We further conduct numerical experiments beyond our average-case assumptions, demonstrating the potential utility of Pauli propagation methods for simulating real-time dynamics and finding low-energy states of physical Hamiltonians.
Related papers
- Limitations of Noisy Geometrically Local Quantum Circuits [0.2039123720459736]
We show that noisy quantum circuits with interspersed noise converge to the uniform distribution at $omega(log n)$ depth, where $n$ is the number of qubits.<n>We conjecture that our bound is still loose and that a $Theta(1)$-depth threshold suffices for simulability due to a percolation effect.
arXiv Detail & Related papers (2025-10-07T18:08:23Z) - Non-perturbative switching rates in bistable open quantum systems: from driven Kerr oscillators to dissipative cat qubits [72.41778531863143]
We use path integral techniques to predict the switching rate in a single-mode bistable open quantum system.<n>Our results open new avenues for exploring switching phenomena in multistable single- and many-body open quantum systems.
arXiv Detail & Related papers (2025-07-24T18:01:36Z) - Simulating quantum circuits with arbitrary local noise using Pauli Propagation [0.0]
We present a classical algorithm for estimating expectation values of arbitrary observables on typical quantum circuits under any incoherent local noise.
We show that this does not apply to average-case circuits, as these can be efficiently simulated using Pauli-path methods.
arXiv Detail & Related papers (2025-01-22T18:57:16Z) - Classical Simulability of Quantum Circuits with Shallow Magic Depth [12.757419723444956]
We investigate the classical simulability of quantum circuits with alternating Clifford and $T$ layers.<n>Surprisingly, with the addition of just one $T$ gate layer or merely replacing all $T$ gates with $Tfrac12$, the Pauli evaluation task reveals a sharp complexity transition from P to GapP-complete.
arXiv Detail & Related papers (2024-09-20T18:00:00Z) - Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - On the Constant Depth Implementation of Pauli Exponentials [49.48516314472825]
We decompose $Zotimes n$ exponentials of arbitrary length into circuits of constant depth using $mathcalO(n)$ ancillae and two-body XX and ZZ interactions.<n>We prove the correctness of our approach, after introducing novel rewrite rules for circuits which benefit from qubit recycling.
arXiv Detail & Related papers (2024-08-15T17:09:08Z) - Linear Circuit Synthesis using Weighted Steiner Trees [45.11082946405984]
CNOT circuits are a common building block of general quantum circuits.
This article presents state-of-the-art algorithms for optimizing the number of CNOT gates.
A simulated evaluation shows that the suggested is almost always beneficial and reduces the number of CNOT gates by up to 10%.
arXiv Detail & Related papers (2024-08-07T19:51:22Z) - Pauli path simulations of noisy quantum circuits beyond average case [0.3277163122167433]
For random quantum circuits on $n$ qubits of depth, the task of sampling from the output state can be efficiently performed classically using a Pauli path method.<n>We derive sufficient conditions for simulatability in terms of noise rate and the fraction of gates that are T gates, and show that if noise is introduced at a faster rate, the simulation becomes classically easy.
arXiv Detail & Related papers (2024-07-22T21:58:37Z) - A polynomial-time classical algorithm for noisy quantum circuits [1.2708457954150887]
We provide a-time classical algorithm for noisy quantum circuits.
Our approach is based upon the intuition that noise exponentially damps non-local correlations.
For constant noise rates, any quantum circuit for which error mitigation is efficient on most input states, is also classically simulable on most input states.
arXiv Detail & Related papers (2024-07-17T17:48:39Z) - Calculating response functions of coupled oscillators using quantum phase estimation [40.31060267062305]
We study the problem of estimating frequency response functions of systems of coupled, classical harmonic oscillators using a quantum computer.
Our proposed quantum algorithm operates in the standard $s-sparse, oracle-based query access model.
We show that a simple adaptation of our algorithm solves the random glued-trees problem in time.
arXiv Detail & Related papers (2024-05-14T15:28:37Z) - Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement [39.58317527488534]
Quantum Circuits (PQCs) are still not fully understood outside the scope of their principal application.
We analyse the generation of random states in PQCs under restrictions on the qubits connectivities.
We place a connection between how steep is the increase on the uniformity of the distribution of the generated states and the generation of entanglement.
arXiv Detail & Related papers (2024-05-03T17:32:55Z) - Noise-induced shallow circuits and absence of barren plateaus [2.5295633594332334]
We show that any noise truncates' most quantum circuits to effectively logarithmic depth.
We then prove that quantum circuits under any non-unital noise exhibit lack of barren plateaus for cost functions composed of local observables.
arXiv Detail & Related papers (2024-03-20T19:00:49Z) - Learning shallow quantum circuits [7.411898489476803]
We present an algorithm for learning the description of any unknown $n$-qubit shallow quantum circuit $U$.
We also provide a classical algorithm for learning the description of any unknown $n$-qubit state $lvert psi rangle$.
Our approach uses a quantum circuit representation based on local inversions and a technique to combine these inversions.
arXiv Detail & Related papers (2024-01-18T16:05:00Z) - A noise-limiting quantum algorithm using mid-circuit measurements for
dynamical correlations at infinite temperature [0.0]
We introduce a quantum channel built out of mid-circuit measurements and feed-forward.
In the presence of a depolarizing channel it still displays a meaningful, non-zero signal in the large depth limit.
We showcase the noise resilience of this quantum channel on Quantinuum's H1-1 ion-trap quantum computer.
arXiv Detail & Related papers (2024-01-04T11:25:04Z) - Simulating Noisy Variational Quantum Algorithms: A Polynomial Approach [1.806183113759115]
Large-scale variational quantum algorithms are widely recognized as a potential pathway to achieve quantum advantages.
We present a novel $gammaPPP method based on the integral path of observables back-propagation on paths.
We conduct classical simulations of IBM's zeronoised experimental results on the 127-qubit Eagle processor.
arXiv Detail & Related papers (2023-06-09T10:42:07Z) - A single $T$-gate makes distribution learning hard [56.045224655472865]
This work provides an extensive characterization of the learnability of the output distributions of local quantum circuits.
We show that for a wide variety of the most practically relevant learning algorithms -- including hybrid-quantum classical algorithms -- even the generative modelling problem associated with depth $d=omega(log(n))$ Clifford circuits is hard.
arXiv Detail & Related papers (2022-07-07T08:04:15Z) - Entanglement and coherence in Bernstein-Vazirani algorithm [58.720142291102135]
Bernstein-Vazirani algorithm allows one to determine a bit string encoded into an oracle.
We analyze in detail the quantum resources in the Bernstein-Vazirani algorithm.
We show that in the absence of entanglement, the performance of the algorithm is directly related to the amount of quantum coherence in the initial state.
arXiv Detail & Related papers (2022-05-26T20:32:36Z) - Gaussian initializations help deep variational quantum circuits escape
from the barren plateau [87.04438831673063]
Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years.
However, quantum circuits with random structures have poor trainability due to the exponentially vanishing gradient with respect to the circuit depth and the qubit number.
This result leads to a general belief that deep quantum circuits will not be feasible for practical tasks.
arXiv Detail & Related papers (2022-03-17T15:06:40Z) - 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) - Random quantum circuits transform local noise into global white noise [118.18170052022323]
We study the distribution over measurement outcomes of noisy random quantum circuits in the low-fidelity regime.
For local noise that is sufficiently weak and unital, correlations (measured by the linear cross-entropy benchmark) between the output distribution $p_textnoisy$ of a generic noisy circuit instance shrink exponentially.
If the noise is incoherent, the output distribution approaches the uniform distribution $p_textunif$ at precisely the same rate.
arXiv Detail & Related papers (2021-11-29T19:26:28Z) - 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.