Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Optimization and noise analysis of the quantum algorithm for solving one-dimensional Poisson equation
G. Cui, Zhimin Wang, Shengbin Wang +5 more·Aug 27, 2021
Solving differential equations is one of the most promising applications of quantum computing. Recently we proposed an efficient quantum algorithm for solving one-dimensional Poisson equation avoiding the need to perform quantum arithmetic or Hamilto...
The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry
Waheeda Saib, P. Wallden, I. Akhalwaya·Aug 27, 2021
Variational quantum algorithms are suitable for use on noisy quantum systems. One of the most important use-cases is the quantum simulation of materials, using the variational quantum eigensolver (VQE). To optimize VQE performance, a suitable paramet...
Quantum Alphatron: quantum advantage for learning with kernels and noise
Siyi Yang, N. Guo, M. Santha +1 more·Aug 26, 2021
At the interface of machine learning and quantum computing, an important question is what distributions can be learned provably with optimal sample complexities and with quantum-accelerated time complexities. In the classical case, Klivans and Goel d...
Decoder for the Triangular Color Code by Matching on a Möbius Strip
K. Sahay, Benjamin J. Brown·Aug 25, 2021
The color code is remarkable for its ability to perform fault-tolerant logic gates. This motivates the design of practical decoders that minimise the resource cost of color-code quantum computation. Here we propose a decoder for the planar color code...
Digital simulation of convex mixtures of Markovian and non-Markovian single qubit Pauli channels on NISQ devices
I. J. David, I. Sinayskiy, Francesco Petruccione·Aug 25, 2021
Quantum algorithms for simulating quantum systems provide a clear and provable advantage over classical algorithms in fault-tolerant settings. There is also interest in quantum algorithms and their implementation in Noisy Intermediate Scale Quantum (...
Distinguishing phases via non-Markovian dynamics of entanglement in topological quantum codes under parallel magnetic field
H. K. J., A. Pal·Aug 25, 2021
We investigate the static and the dynamical behavior of localizable entanglement and its lower bounds on nontrivial loops of topological quantum codes with parallel magnetic field. Exploiting the connection between the stabilizer states and graph stat...
EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations
Ramin Ayanzadeh, Poulami Das, Swamit S. Tannu +1 more·Aug 24, 2021
Quantum computing is an information processing paradigm that uses quantum-mechanical properties to speedup computationally hard problems. Gate-based quantum computers and Quantum Annealers (QAs) are two commercially available hardware platforms that ...
Reducing unitary coupled cluster circuit depth by classical stochastic amplitude prescreening
Maria-Andreea Filip, Nathan Fitzpatrick, David Muñoz Ramo +1 more·Aug 24, 2021
Unitary Coupled Cluster (UCC) approaches are an appealing route to utilising quantum hardware to perform quantum chemistry calculations, as quantum computers can in principle perform UCC calculations in a polynomially scaling fashion, as compared to ...
Error mitigation for variational quantum algorithms through mid-circuit measurements
Ludmila A. S. Botelho, A. Glos, Akash Kundu +3 more·Aug 24, 2021
Noisy Intermediate-Scale Quantum (NISQ) algorithms require novel paradigms of error mitigation. To obtain noise-robust quantum computers, each logical qubit is equipped with hundreds or thousands of physical qubits. However, it is not possible to use...
Scalable error mitigation for noisy quantum circuits produces competitive expectation values
Youngseok Kim, C. J. Wood, Theodore J. Yoder +4 more·Aug 20, 2021
A technique called error mitigation can significantly improve the performance of large-scale quantum computations on near-term devices without the significant resource overheard of fault-tolerant quantum error correction. Noise in existing quantum pr...
Estimating distinguishability measures on quantum computers
Rochisha Agarwal, Soorya Rethinasamy, Kunal Sharma +1 more·Aug 18, 2021
The performance of a quantum information processing protocol is ultimately judged by distinguishability measures that quantify how distinguishable the actual result of the protocol is from the ideal case. The most prominent distinguishability measure...
Exactly solving the Kitaev chain and generating Majorana-zero-modes out of noisy qubits
M. Rančić·Aug 16, 2021
Majorana-zero-modes (MZMs) were predicted to exist as edge states of a physical system called the Kitaev chain. MZMs should host particles that are their own antiparticles and could be used as a basis for a qubit which is robust-to-noise. However, al...
QDataSet, quantum datasets for machine learning
Elija Perrier, Akram Youssry, C. Ferrie·Aug 15, 2021
The availability of large-scale datasets on which to train, benchmark and test algorithms has been central to the rapid development of machine learning as a discipline. Despite considerable advancements, the field of quantum machine learning has thus...
Real-time simulation of light-driven spin chains on quantum computers
M. Rodriguez-Vega, Elizabeth Carlander, A. Bahri +3 more·Aug 12, 2021
In this work, we study the real-time evolution of periodically driven (Floquet) systems on a quantum computer using IBM quantum devices. We consider a driven Landau–Zener model and compute the transition probability between the Floquet steady states ...
Quantum reinforcement learning: the maze problem
Nicola Dalla Pozza, L. Buffoni, Stefano Martina +1 more·Aug 10, 2021
Quantum machine learning (QML) is a young but rapidly growing field where quantum information meets machine learning. Here, we will introduce a new QML model generalising the classical concept of reinforcement learning to the quantum domain, i.e. qua...
Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning
Dongil Shin, Andrea Cupertino, M. H. J. D. Jong +3 more·Aug 10, 2021
From ultrasensitive detectors of fundamental forces to quantum networks and sensors, mechanical resonators are enabling next‐generation technologies to operate in room‐temperature environments. Currently, silicon nitride nanoresonators stand as a lea...
Linear Programming Bounds for Approximate Quantum Error Correction Over Arbitrary Quantum Channels
Yingkai Ouyang, C. Lai·Aug 10, 2021
While quantum weight enumerators establish some of the best upper bounds on the minimum distance of quantum error-correcting codes, these bounds are not optimized to quantify the performance of quantum codes under the effect of arbitrary quantum chan...
Decodable hybrid dynamics of open quantum systems with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="double-struck">Z</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> symmetry
Yaodong Li, Matthew Fisher·Aug 9, 2021
We explore a class of"open"quantum circuit models with local decoherence ("noise") and local projective measurements, each respecting a global Z_2 symmetry. The model supports a spin glass phase where the Z_2 symmetry is spontaneously broken (not pos...
Quantum algorithms for quantum dynamics: A performance study on the spin-boson model
Alexander Miessen, Pauline J. Ollitrault, I. Tavernelli·Aug 9, 2021
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator. This approach typically relies on deep circuits and is therefore hampered by the substantial limitatio...
Universal quantum state preparation via revised greedy algorithm
Runhong He, Hai-Da Liu, Shengbin Wang +3 more·Aug 7, 2021
Preparation of quantum state lies at the heart of quantum information processing. The greedy algorithm provides a potential method to effectively prepare quantum state. However, the standard greedy (SG) algorithm, in general, cannot take the global m...