Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers
Y. Kharkov, A. Ivanova, E. Mikhantiev +1 more·Feb 28, 2022
Efficient compilation of quantum algorithms is vital in the era of Noisy Intermediate-Scale Quantum (NISQ) devices. While multiple open-source quantum compilation and circuit optimization frameworks are available, e.g. IBM Qiskit, CQC Tket, Google Ci...
The complexity of quantum support vector machines
Gian Gentinetta, Arne Thomsen, David Sutter +1 more·Feb 28, 2022
Quantum support vector machines employ quantum circuits to define the kernel function. It has been shown that this approach offers a provable exponential speedup compared to any known classical algorithm for certain data sets. The training of such mo...
Improved Combinatorial Approximation Algorithms for MAX CUT in Sparse Graphs
Eiichiro Sato·Feb 28, 2022
The Max-Cut problem is a fundamental NP-hard problem, which is attracting attention in the field of quantum computation these days. Regarding the approximation algorithm of the Max-Cut problem, algorithms based on semidefinite programming have achiev...
HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes
Swamit S. Tannu, Poulami Das, Ramin Ayanzadeh +1 more·Feb 28, 2022
Quantum computers with hundreds of qubits will be available soon. Unfortunately, high device error-rates pose a significant challenge in using these near-term quantum systems to power real-world applications. Executing a program on existing quantum s...
Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop
Kaitlin N. Smith, Gokul Subramanian Ravi, Thomas Alexander +14 more·Feb 28, 2022
Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of certain problems, and there are many opportunities for innovation based ...
Estimating the degree of non-Markovianity using variational quantum circuits
H. T. Dinani, Diego Tancara, F. Fanchini +2 more·Feb 28, 2022
Several applications of quantum machine learning (QML) rely on a quantum measurement followed by training algorithms using the measurement outcomes. However, recently developed QML models, such as variational quantum circuits (VQCs), can be implement...
Robust resource-efficient quantum variational ansatz through an evolutionary algorithm
Yuhan Huang, Qing Li, Xiaokai Hou +4 more·Feb 28, 2022
Variational quantum algorithms (VQAs) are promising methods to demonstrate quantum advantage on near-term devices as the required resources are divided between a quantum simulator and a classical optimizer. As such, designing a VQA which is resource-...
Efficient NIZKs and Signatures from Commit-and-Open Protocols in the QROM
Jelle Don, S. Fehr, Christian Majenz +1 more·Feb 28, 2022
Commit-and-open Sigma-protocols are a popular class of protocols for constructing non-interactive zero-knowledge arguments and digital-signature schemes via the Fiat-Shamir transformation. Instantiated with hash-based commitments, the resulting non-i...
Irreducible Magic Sets for n-Qubit Systems.
Stefan Trandafir, P. Lisoněk, A. Cabello·Feb 26, 2022
Magic sets of observables are minimal structures that capture quantum state-independent advantage for systems of n≥2 qubits and are, therefore, fundamental tools for investigating the interface between classical and quantum physics. A theorem by Arkh...
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Hanrui Wang, Zi-Chen Li, Jiaqi Gu +3 more·Feb 26, 2022
Parameterized Quantum Circuits (PQC) are drawing increasing research interest thanks to its potential to achieve quantum advantages on near-term Noisy Intermediate Scale Quantum (NISQ) hardware. In order to achieve scalable PQC learning, the training...
Quantum Algorithms for solving Hard Constrained Optimisation Problems
Parfait Atchade-Adelomou·Feb 26, 2022
The thesis deals with Quantum Algorithms for solving Hard Constrained Optimization Problems. It shows how quantum computers can solve difficult everyday problems such as finding the best schedule for social workers or the path of a robot picking and ...
Parametrized Constant-Depth Quantum Neuron
Jonathan H. A. de Carvalho, Fernando M. de Paula Neto·Feb 25, 2022
Quantum computing has been revolutionizing the development of algorithms. However, only noisy intermediate-scale quantum devices are available currently, which imposes several restrictions on the circuit implementation of quantum algorithms. In this ...
Hypercube quantum search: exact computation of the probability of success in polynomial time
Hugo Pillin, G. Burel, P. Baird +2 more·Feb 25, 2022
In the emerging domain of quantum algorithms, Grover’s quantum search is certainly one of the most significant. It is relatively simple, performs a useful task and more importantly, does it in an optimal way. However, due to the success of quantum wa...
Simulating spectroscopy experiments with a superconducting quantum computer
John P. T. Stenger, G. Ben-Shach, D. Pekker +1 more·Feb 25, 2022
We present a novel method for solving eigenvalue problems on a quantum computer based on spectroscopy. The method works by coupling a"probe"qubit to a set of system simulation qubits and then time evolving both the probe and the system under Hamilton...
Quantum persistent homology
Bernardo Ameneyro, V. Maroulas, G. Siopsis·Feb 25, 2022
Persistent homology is a powerful mathematical tool that summarizes useful information about the shape of data allowing one to detect persistent topological features while one adjusts the resolution. However, the computation of such topological featu...
N-Electron Valence Perturbation Theory with Reference Wave Functions from Quantum Computing: Application to the Relative Stability of Hydroxide Anion and Hydroxyl Radical.
Alessandro Tammaro, D. Galli, J. Rice +1 more·Feb 25, 2022
Quantum simulations of the hydroxide anion and hydroxyl radical are reported, employing variational quantum algorithms for near-term quantum devices. The energy of each species is calculated along the dissociation curve, to obtain information about t...
CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms
Gokul Subramanian Ravi, P. Gokhale, Yi Ding +7 more·Feb 25, 2022
Classical computing plays a critical role in the advancement of quantum frontiers in the NISQ era. In this spirit, this work uses classical simulation to bootstrap Variational Quantum Algorithms (VQAs). VQAs rely upon the iterative optimization of a ...
Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states
Marc Illa, M. Savage·Feb 24, 2022
We explore the potential of D-Wave’s quantum annealers for computing some of the basic com-ponents required for quantum simulations of Standard Model physics. By implementing a basic multigrid (including “zooming”) and specializing Feynman-clock algo...
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
Hans Hohenfeld, D. Heimann, Felix Wiebe +1 more·Feb 24, 2022
We utilize hybrid quantum deep reinforcement learning to learn navigation tasks for a simple, wheeled robot in simulated environments of increasing complexity. For this, we train parameterized quantum circuits (PQCs) with two different encoding strat...
A Modified MWPM Decoding Algorithm for Quantum Surface Codes Over Depolarizing Channels
Yaping Yuan, Chung-Chin Lu·Feb 23, 2022
A quantum surface code is a quantum topological stabilizer code whose stabilizers and qubits are geometrically related. Due to their special structures, surface codes have great potential to be implemented in large-scale quantum computing systems. In...