Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Bayesian learning of parameterised quantum circuits
Samuel Duffield, Marcello Benedetti, Matthias Rosenkranz·Jun 15, 2022
Currently available quantum computers suffer from constraints including hardware noise and a limited number of qubits. As such, variational quantum algorithms that utilise a classical optimiser in order to train a parameterised quantum circuit have d...
Quantum control methods for robust entanglement of trapped ions
C. Valahu, Iason Apostolatos, S. Weidt +1 more·Jun 13, 2022
A major obstacle in the way of practical quantum computing is achieving scalable and robust high-fidelity entangling gates. To this end, quantum control has become an essential tool, as it can make the entangling interaction resilient to sources of n...
The learnability of Pauli noise
Senrui Chen, Yunchao Liu, M. Otten +3 more·Jun 13, 2022
Recently, several quantum benchmarking algorithms have been developed to characterize noisy quantum gates on today’s quantum devices. A fundamental issue in benchmarking is that not everything about quantum noise is learnable due to the existence of ...
Impact of dynamics, entanglement and Markovian noise on the fidelity of few-qubit digital quantum simulation
M. D. Porter, I. Joseph·Jun 10, 2022
Quantum algorithms have been proposed to accelerate the simulation of the chaotic dynamical systems that are ubiquitous in the physics of plasmas. Quantum computers without error correction might even use noise to their advantage to calculate the Lya...
Multi-state quantum simulations via model-space quantum imaginary time evolution
T. Tsuchimochi, Yoohee Ryo, Siu Chung Tsang +1 more·Jun 9, 2022
We introduce the framework of model space into quantum imaginary time evolution (QITE) to enable stable estimation of ground and excited states using a quantum computer. Model-space QITE (MSQITE) propagates a model space to the exact one by retaining...
Hybrid simplification rules for boundaries of quantum circuits
M. Epping·Jun 7, 2022
We describe rules to simplify quantum circuits at their boundaries, i.e. at state preparation and measurement. There, any strictly incoherent operation may be pushed into a preor post-processing of classical data. The rules can greatly simplify the i...
Sampling frequency thresholds for the quantum advantage of the quantum approximate optimization algorithm
Danylo Lykov, J. Wurtz, C. Poole +3 more·Jun 7, 2022
We compare the performance of the Quantum Approximate Optimization Algorithm (QAOA) with state-of-the-art classical solvers Gurobi and MQLib to solve the MaxCut problem on 3-regular graphs. We identify the minimum noiseless sampling frequency and dep...
Using copies can improve precision in continuous-time quantum computing
Jemma Bennett, A. Callison, Tom O'Leary +3 more·Jun 6, 2022
In the quantum optimisation setting, we build on a scheme introduced by Young et al (2013 Phys. Rev. A 88 062314), where physical qubits in multiple copies of a problem encoded into an Ising spin Hamiltonian are linked together to increase the logica...
Error mitigation for quantum kernel based machine learning methods on IonQ and IBM quantum computers
S. Moradi, C. Brandner, Macauley Coggins +3 more·Jun 3, 2022
Kernel methods are the basis of most classical machine learning algorithms such as Gaussian Process (GP) and Support Vector Machine (SVM). Computing kernels using noisy intermediate scale quantum (NISQ) devices has attracted considerable attention du...
Probing finite-temperature observables in quantum simulators of spin systems with short-time dynamics
A. Schuckert, A. Bohrdt, E. Crane +1 more·Jun 3, 2022
Preparing finite temperature states in quantum simulators of spin systems, such as trapped ions or Rydberg atoms in optical tweezers, is challenging due to their almost perfect isolation from the environment. Here, we show how finite-temperature obse...
Improving Quantum Computation by Optimized Qubit Routing
Friedrich Wagner, Andreas Bärmann, F. Liers +1 more·Jun 2, 2022
In this work we propose a high-quality decomposition approach for qubit routing by swap insertion. This optimization problem arises in the context of compiling quantum algorithms formulated in the circuit model of computation onto specific quantum ha...
Ideal refocusing of an optically active spin qubit under strong hyperfine interactions
Leon Zaporski, Noah Shofer, J. Bodey +14 more·Jun 2, 2022
Optically active semiconductor quantum dots have so far suffered from nuclear inhomogeneity limiting all dynamical decoupling measurements to a few microseconds. Lattice-matched GaAs–AlGaAs quantum dots now enable decoupling schemes to achieve a 0.11...
Quantum error mitigation by Pauli check sandwiching
Alvin Gonzales, Ruslan Shaydulin, Zain Saleem +1 more·Jun 1, 2022
We describe and analyze an error mitigation technique that uses multiple pairs of parity checks to detect the presence of errors. Each pair of checks uses one ancilla qubit to detect a component of the error operator and represents one layer of the t...
Towards retrieving dispersion profiles using quantum-mimic Optical Coherence Tomography and Machine Learnin
Krzysztof A. Maliszewski, P. Kolenderski, V. Vetrova +1 more·May 30, 2022
Artefacts in quantum-mimic optical coherence tomography are considered detrimental because they scramble the images even for the simplest objects. They are a side effect of autocorrelation, which is used in the quantum entanglement mimicking algorith...
Running the Dual-PQC GAN on noisy simulators and real quantum hardware
Su Yeon Chang, Edwin Agnew, E. Combarro +3 more·May 30, 2022
In an earlier work [1], we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of quantum GAN. We applied the model on a realistic High-Energy Physics (HEP) use case: the exact theoretical ...
Quantum error mitigation via quantum-noise-effect circuit groups
Y. Hama, Hirofumi Nishi·May 27, 2022
Near-term quantum computers have been built as intermediate-scale quantum devices and are fragile against quantum noise effects, namely, NISQ devices. Traditional quantum-error-correcting codes are not implemented on such devices and to perform quant...
Effect of matrix sparsity and quantum noise on quantum random walk linear solvers
Benwei Wu, Hrushikesh Patil, P. Krstic·May 27, 2022
We study the effects of quantum noise in hybrid quantum-classical solver for sparse systems of linear equations using quantum random walks, applied to stoquastic Hamiltonian matrices. In an ideal noiseless quantum computer, sparse matrices achieve so...
Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses
Swarnadeep Majumder, C. Yale, Titus Morris +6 more·May 27, 2022
Quantum computing testbeds exhibit high-fidelity quantum control over small collections of qubits, enabling performance of precise, repeatable operations followed by measurements. Currently, these noisy intermediate-scale devices can support a suffic...
Machine learning applications for noisy intermediate-scale quantum computers
Brian Coyle·May 19, 2022
Quantum machine learning has proven to be a fruitful area in which to search for potential applications of quantum computers. This is particularly true for those available in the near term, so called noisy intermediate-scale quantum (NISQ) devices. I...
Complementarity between success probability and coherence in Grover search algorithm
Minghua Pan, Haozhen Situ, Shenggen Zheng·May 19, 2022
Coherence plays a very important role in Grover search algorithm (GSA). In this paper, we define the normalization coherence , where C is a coherence measurement. By virtue of the constraint of large N and Shannon's maximum entropy principle, a surpr...