Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment
Byungjin Cho, Yu Xiao, Pan Hui +1 more·Aug 15, 2022
The rapid proliferation of learning systems in an arbitrarily changing environment mandates the need to manage tensions between exploration and exploitation. This work proposes a quantum-inspired bandit learning approach for the learning-and-adapting...
Solving boolean satisfiability problems with the quantum approximate optimization algorithm
Sami Boulebnane, A. Montanaro·Aug 14, 2022
The quantum approximate optimization algorithm (QAOA) is one of the most prominent proposed applications for near-term quantum computing. Here we study the ability of QAOA to solve hard constraint satisfaction problems, as opposed to optimization pro...
Time-marching based quantum solvers for time-dependent linear differential equations
Di Fang, Lin Lin, Yu Tong·Aug 14, 2022
The time-marching strategy, which propagates the solution from one time step to the next, is a natural strategy for solving time-dependent differential equations on classical computers, as well as for solving the Hamiltonian simulation problem on qua...
Efficient quantum algorithms for solving quantum linear system problems
Hefeng Wang, Hua Xiang·Aug 14, 2022
We transform the problem of solving linear system of equations A x = b to a problem of finding the right singular vector with singular value zero of an augmented matrix C , and present two quantum algorithms for solving this problem. The first algorith...
Improving Quantum Measurements by Introducing "Ghost" Pauli Products.
Seonghoon Choi, Tzu-Ching Yen, A. Izmaylov·Aug 13, 2022
Reducing the number of measurements required to estimate the expectation value of an observable is crucial for the variational quantum eigensolver to become competitive with state-of-the-art classical algorithms. To measure complicated observables su...
Imperfect Quantum Photonic Neural Networks
Jacob Ewaniuk, J. Carolan, B. Shastri +1 more·Aug 13, 2022
Quantum photonic neural networks are variational photonic circuits that can be trained to implement high‐fidelity quantum operations. However, work‐to‐date has assumed idealized components, including a perfect π Kerr nonlinearity. This work investiga...
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering
Anbang Wu, Yufei Ding, A. Li·Aug 13, 2022
The noisy and lengthy nature of quantum communication hinders the development of distributed quantum computing. The inefficient design of existing compilers for distributed quantum computing worsens the situation. Previous compilation frameworks coup...
Multi-stage Stern-Gerlach experiment modeled (with additional appendices)
Lihong V. Wang·Aug 12, 2022
In the classic multi-stage Stern$-$Gerlach experiment conducted by Frisch and Segrè, the Majorana (Landau$-$Zener) and Rabi formulae diverge afar from the experimental observation while the physical mechanism for electron-spin collapse remains uniden...
Measuring incompatibility and clustering quantum observables with a quantum switch
Ni Gao, Dantong Li, Anchit Mishra +3 more·Aug 12, 2022
The existence of incompatible observables is a cornerstone of quantum mechanics and a valuable resource in quantum technologies. Here we introduce a measure of incompatibility, called the mutual eigenspace disturbance (MED), which quantifies the amou...
On establishing learning separations between classical and quantum machine learning with classical data
Casper Gyurik, V. Dunjko·Aug 12, 2022
Despite years of effort, the quantum machine learning community has only been able to show quantum learning advantages for certain contrived cryptography-inspired datasets in the case of classical data. In this note, we discuss the challenges of find...
NEO-QEC: Neural Network Enhanced Online Superconducting Decoder for Surface Codes
Yosuke Ueno, M. Kondo, Masamitsu Tanaka +2 more·Aug 11, 2022
Quantum error correction (QEC) is essential for quantum computing to mitigate the effect of errors on qubits, and surface code (SC) is one of the most promising QEC methods. Decoding SCs is the most computational expensive task in the control device ...
Multidisk Clutch Optimization Using Quantum Annealing
J. Malcolm, Alexander Roth, Mladjan Radic +5 more·Aug 11, 2022
In this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applica...
Scalable neural quantum states architecture for quantum chemistry
Tianchen Zhao, J. Stokes, S. Veerapaneni·Aug 11, 2022
Variational optimization of neural-network representations of quantum states has been successfully applied to solve interacting fermionic problems. Despite rapid developments, significant scalability challenges arise when considering molecules of lar...
Efficient recovery of variational quantum algorithms landscapes using classical signal processing
Enrico Fontana, I. Rungger, Ross Duncan +1 more·Aug 11, 2022
We employ spectral analysis and compressed sensing to identify settings where a variational algorithm's cost function can be recovered purely classically or with minimal quantum computer access. We present theoretical and numerical evidence supportin...
Transmon qubit readout fidelity at the threshold for quantum error correction without a quantum-limited amplifier
L. Chen, Hang Li, Yong Lu +17 more·Aug 11, 2022
High-fidelity and rapid readout of a qubit state is key to quantum computing and communication, and it is a prerequisite for quantum error correction. We present a readout scheme for superconducting qubits that combines two microwave techniques: appl...
Quantum computational intelligence for traveltime seismic inversion
Antonella Albino, O. Pires, P. Nogueira +2 more·Aug 11, 2022
Quantum computing is in its early stage of implementation. Its capacity has been growing in the last years but its application in several fields of sciences is still restricted to oversimplified problems. In this stage, it is important to identify th...
Solving partial differential equations on near-term quantum computers
Antonella Albino, Lucas Correia Jardim, D. Knupp +3 more·Aug 11, 2022
In this work, we obtain the numerical temperature field to a thermally developing fluid flow inside parallel plates problem with a quantum computing method. The physical problem deals with the heat transfer of a steady state, hydrodinamically develop...
Evaluating the resilience of variational quantum algorithms to leakage noise
Chen Ding, Xiao-Yue Xu, Shuo Zhang +2 more·Aug 10, 2022
As we are entering the era of constructing practical quantum computers, suppressing the inevitable noise to accomplish reliable computational tasks will be the primary goal. Leakage noise, as the amplitude population leaking outside the qubit subspac...
Triangular quantum photonic devices with integrated detectors in silicon carbide
Sridhar Majety, S. Strohauer, Pranta Saha +4 more·Aug 10, 2022
Triangular cross-section SiC photonic devices have been studied as an efficient and scalable route for integration of color centers into quantum hardware. In this work, we explore efficient collection and detection of color center emission in a tri...
A Quantum Natural Language Processing Approach to Pronoun Resolution
Hadi Wazni, K. Lo, Lachlan McPheat +1 more·Aug 10, 2022
We use the Lambek Calculus with soft sub-exponential modalities to model and reason about discourse relations such as anaphora and ellipsis. A semantics for this logic is obtained by using truncated Fock spaces, developed in our previous work. We dep...