Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems
Zefan Du, Yanni Li, Zijian Mo +4 more·Dec 24, 2024
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise/error rates, which hinder scalability and reliability. Distributed quant...
Entropy Density Benchmarking of Near-Term Quantum Circuits
Marine Demarty, James Mills, Kenza Hammam +1 more·Dec 23, 2024
Understanding the limitations imposed by noise on current and next-generation quantum devices is a crucial step towards demonstrating practical quantum advantage. In this work, we investigate the accumulation of entropy density as a benchmark to moni...
Correlated Noise Estimation with Quantum Sensor Networks
Anthony J. Brady, Yu-Xin Wang, Victor V. Albert +2 more·Dec 23, 2024
We address the metrological problem of estimating collective stochastic properties imprinted on a network of quantum sensors. Canonical examples include center-of-mass quadrature fluctuations in a system of bosonic modes and correlated dephasing in a...
Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
Eric Brunner, Luuk Coopmans, Gabriel Matos +5 more·Dec 23, 2024
Building upon recent progress in Lindblad engineering for quantum Gibbs state preparation algorithms, we propose a simplified protocol that is shown to be efficient under the eigenstate thermalization hypothesis (ETH). The ETH reduces circuit overhea...
Quantum Algorithms for Discrete Log Require Precise Rotations
Jin-Yi Cai, Ben Young·Dec 23, 2024
Recently, Cai [3] showed that Shor’s quantum factoring algorithm fails to factor large integers when algorithm’s quantum Fourier transform (QFT) is corrupted by a vanishing level of random noise on the QFT’s precise controlled rotation gates. We show...
Variational Quantum Generative Modeling by Sampling Expectation Values of Tunable Observables
Kevin Shen, Andrii Kurkin, Adrián Pérez-Salinas +3 more·Dec 22, 2024
Expectation Value Samplers (EVSs) are quantum generative models that can learn high-dimensional continuous distributions by measuring the expectation values of parameterized quantum circuits. However, these models can demand impractical quantum resou...
Fundamental Thresholds for Computational and Erasure Errors via the Coherent Information
Luis Colmenarez, Seyong Kim, Markus Müller·Dec 21, 2024
Quantum error correcting (QEC) codes protect quantum information against environmental noise. Computational errors caused by the environment change the quantum state within the qubit subspace, whereas quantum erasures correspond to the loss of qubi...
Practical learning of multi-time statistics in open quantum systems
Gregory A. L. White, Lloyd C. L. Hollenberg, Charles D. Hill +1 more·Dec 20, 2024
Randomised measurements can efficiently characterise many-body quantum states by learning the expectation values of observables with low Pauli weights. In this paper, we generalise the theoretical tools of classical shadow tomography to the temporal ...
Schmidt quantum compressor
I. F. Araújo, Hyeondo Oh, Nayeli A. Rodr'iguez-Briones +1 more·Dec 20, 2024
This work introduces the Schmidt quantum compressor, an innovative approach to quantum data compression that leverages the principles of Schmidt decomposition to encode quantum information efficiently. In contrast to traditional variational quantum a...
A Quantum Dual Logarithmic Barrier Method for Linear Optimization
Zeguan Wu, Pouya Sampourmahani, Mohammadhossein Mohammadisiahroudi +1 more·Dec 20, 2024
Quantum computing has the potential to speed up some optimization methods. One can use quantum computers to solve linear systems via quantum linear system algorithms (QLSAs). QLSAs can be used as a subroutine for algorithms that require solving linea...
Kramers-Protected Hardware-Efficient Error Correction with Andreev Spin Qubits.
Haoran Lu, Isidora Araya Day, A. Akhmerov +2 more·Dec 20, 2024
We propose an architecture for bit-flip error correction of Andreev spins that is protected by Kramers' degeneracy. Specifically, we show that a coupling network of linear inductors and Andreev spin qubits results in a static Hamiltonian composed of ...
Universal Quantum Computation via Scalable Measurement-Free Error Correction
Stefano Veroni, A. Paler, G. Giudice·Dec 19, 2024
We show that universal quantum computation can be concretely made fault-tolerant without mid-circuit measurements. To this end, we introduce a measurement-free deformation protocol of the Bacon-Shor code to realize a logical gate. Combined with a f...
Tensor-network decoders for process tensor descriptions of non-Markovian noise
Fumiyoshi Kobayashi, Hidetaka Manabe, G. A. White +3 more·Dec 18, 2024
Quantum error correction (QEC) is essential for fault-tolerant quantum computation. Often in QEC errors are assumed to be independent and identically distributed and can be discretised to a random Pauli error during the execution of a quantum circuit...
EOM Minimum Point Bias Voltage Estimation for Application in Quantum Computing
F. Obernosterer, Raimund Meyer, Robert Koch +3 more·Dec 18, 2024
In quantum computing systems the quantum states of qubits can be modified among others by applying light pulses. In order to achieve low computing error rates these pulses have to be precisely shaped in magnitude and phase. In practical applications,...
The random coupled-plaquette gauge model and the surface code under circuit-level noise
M. Rispler, D. Vodola, Markus Muller +1 more·Dec 18, 2024
We map the decoding problem of the surface code under depolarizing and syndrome noise to a disordered spin model, which we call the random coupled-plaquette gauge model (RCPGM). By coupling X- and Z-syndrome volumes, this model allows us to optimally...
Simulating Bell inequalities with Qibo
Isabella Masina, Giuseppe Lo Presti, Matteo Robbiati +1 more·Dec 18, 2024
We present educational material about Bell inequalities in the context of quantum computing. In particular, we provide software tools to simulate their violation, together with a guide for classroom discussion. The material is organized in three modu...
Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method
Farshad Amani, Amin Kargarian·Dec 18, 2024
This paper presents a quantum-enhanced optimization approach for solving optimal power flow (OPF) by integrating the interior point method (IPM) with a coherent variational quantum linear solver (CVQLS). The objective is to explore the applicability ...
Turning qubit noise into a blessing: Automatic state preparation and long-time dynamics for impurity models on quantum computers
Corentin Bertrand, Pauline Besserve, Michel Ferrero +1 more·Dec 18, 2024
Noise is often regarded as a limitation of quantum computers. In this work, we show that in the dynamical mean field theory (DMFT) approach to strongly-correlated systems, it can actually be harnessed to our advantage. Indeed, DMFT maps a lattice mod...
Zeptojoule Calorimetry
Andr'as Gunyh'o, Kassius Kohvakka, Qi-Ming Chen +4 more·Dec 18, 2024
The measurement of energy is a fundamental tool used, for example, in exploring the early universe, characterizing particle decay processes, as well as in quantum technology and computing. Some of the most sensitive energy detectors are thermal, i.e....
Gaussian process model kernels for noisy optimization in variational quantum algorithms
Luca Arceci, V. Kuzmin, R. V. Bijnen·Dec 17, 2024
Variational Quantum Algorithms (VQAs) aim at solving classical or quantum optimization problems by optimizing parametrized trial states on a quantum device, based on the outcomes of noisy projective measurements. The associated optimization process b...