Papers
Live trends in quantum computing research, updated daily from arXiv.
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Code-based Cryptography in IoT: A HW/SW Co-Design of HQC
Maximilian Schöffel, Johannes Feldmann, N. Wehn·Oct 26, 2022
Recent advances in quantum computing pose a serious threat on the security of widely used public-key cryp-tosystems. Thus, new post-quantum cryptographic algorithms have been proposed as part of the associated US NIST process to enable secure, encryp...
Theory of strong down-conversion in multi-mode cavity and circuit QED
N. Mehta, C. Ciuti, R. Kuzmin +1 more·Oct 26, 2022
We revisit the superstrong coupling regime of multi-mode cavity quantum electrodynamics (QED), defined to occur when the frequency of vacuum Rabi oscillations between the qubit and the nearest cavity mode exceeds the cavity's free spectral range. A n...
Implementing arbitrary quantum operations via quantum walks on a cycle graph
Jia-Yi Lin, Xinyou Li, Yusheng Shao +2 more·Oct 26, 2022
The quantum circuit model is the most commonly used model for implementing quantum computers and quantum neural networks whose essential tasks are to realize certain unitary operations. Here we propose an alternative approach; we use a simple discret...
Virtual distillation with noise dilution
Yong-Siah Teo, Seongwook Shin, Hyukgun Kwon +2 more·Oct 26, 2022
Virtual distillation is an error-mitigation technique that reduces quantum-computation errors without assuming the noise type. In scenarios where the user of a quantum circuit is required to additionally employ peripherals, such as delay lines, that ...
Spoofing Cross-Entropy Measure in Boson Sampling.
Changhun Oh, Liang Jiang, Bill Fefferman·Oct 26, 2022
Cross-entropy (XE) measure is a widely used benchmark to demonstrate quantum computational advantage from sampling problems, such as random circuit sampling using superconducting qubits and boson sampling (BS). We present a heuristic classical algori...
Towards an Automated Framework for Realizing Quantum Computing Solutions
Nils Quetschlich, Lukas Burgholzer, R. Wille·Oct 26, 2022
Quantum computing is fast evolving as a technology due to recent advances in hardware, software, as well as the development of promising applications. To use this technology for solving specific problems, a suitable quantum algorithm has to be determ...
Noncommutative Bohnenblust–Hille inequalities
A. Volberg, Haonan Zhang·Oct 26, 2022
Bohnenblust–Hille inequalities for Boolean cubes have been proven with dimension-free constants that grow subexponentially in the degree (Defant et al. in Math Ann 374(1):653–680, 2019). Such inequalities have found great applications in learning low...
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang, Sitan Chen, J. Preskill·Oct 26, 2022
We present an efficient machine learning (ML) algorithm for predicting any unknown quantum process $\mathcal{E}$ over $n$ qubits. For a wide range of distributions $\mathcal{D}$ on arbitrary $n$-qubit states, we show that this ML algorithm can learn ...
Mechanism of Universal Quantum Computation in the Brain
Aman Chawla, S. Morgera·Oct 26, 2022
In this paper the authors extend [1] and provide more details of how the brain may act like a quantum computer. In particular, positing the difference between voltages on two axons as the environment for ions undergoing spatial superposition, we argu...
Machine Learning Assisted Design and Optimization of Transition Metal-Incorporated Carbon Quantum Dot Catalysts for Hydrogen Evolution Reaction
Duong Nguyen Nguyen, Min-Cheol Kim, Unbeom Baeck +7 more·Oct 26, 2022
Development of cost-effective hydrogen evolution reaction (HER) catalysts with outstanding catalytic activity, replacing cost-prohibitive noble metal-based catalysts, is critical for practical green hydrogen production. A popular strategy for promoti...
A super-polynomial quantum-classical separation for density modelling
N. Pirnay, R. Sweke, J. Eisert +1 more·Oct 26, 2022
Density modelling is the task of learning an unknown probability density function from samples, and is one of the central problems of unsupervised machine learning. In this work, we show that there exists a density modelling problem for which fault-t...
Operational Metric for Quantum Chaos and the Corresponding Spatiotemporal-Entanglement Structure
Neil Dowling, K. Modi·Oct 26, 2022
Chaotic systems are highly sensitive to a small perturbation, and are ubiquitous throughout biological sciences, physical sciences and even social sciences. Taking this as the underlying principle, we construct an operational notion for quantum chaos...
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
A. Marcianò, De-Wei Chen, Filippo Fabrocini +3 more·Oct 25, 2022
Deep Neural Networks miss a principled model of their operation. A novel framework for supervised learning based on Topological Quantum Field Theory that looks particularly well suited for implementation on quantum processors has been recently explor...
A distributed blossom algorithm for minimum-weight perfect matching
E. C. Peterson, Peter J. Karalekas·Oct 25, 2022
We describe a distributed, asynchronous variant of Edmonds’s exact algorithm for producing perfect matchings of minimum weight [Edm65a]. The development of this algorithm is driven by an application to online error correction in quantum computing, fi...
A Depolarizing Noise-aware Transpiler for Optimal Amplitude Amplification
Debashis Ganguly, Wonsun Ahn·Oct 25, 2022
Amplitude amplification provides a quadratic speed-up for an array of quantum algorithms when run on a quantum machine perfectly isolated from its environment. However, the advantage is substantially diminished as the NISQ-era quantum machines lack th...
Study of Adaptative Derivative-Assemble Pseudo-Trotter Ansatzes in VQE through qiskit API
Max Alteg, B. Chevalier, Octave Mestoudjian +1 more·Oct 25, 2022
In order to answer the problem of Quantum Phase Estimation Algorithm been not suitable for NISQ devices, and allows one to outperform classical computers, Variational Quantum Algorithms (VQAs) were designed. Our subject of interest is the so-called V...
Entanglement Purification with Quantum LDPC Codes and Iterative Decoding
Narayanan Rengaswamy, Nithin Raveendran, Ankur Raina +1 more·Oct 25, 2022
Recent constructions of quantum low-density parity-check (QLDPC) codes provide optimal scaling of the number of logical qubits and the minimum distance in terms of the code length, thereby opening the door to fault-tolerant quantum systems with minim...
High-fidelity realization of the AKLT state on a NISQ-era quantum processor
Tianqi Chen, R. Shen, Ching Hua Lee +1 more·Oct 25, 2022
The AKLT state is the ground state of an isotropic quantum Heisenberg spin-1 model. It exhibits an excitation gap and an exponentially decaying correlation function, with fractionalized excitations at its boundaries. So far, the one-dimensional AKLT ...
High-fidelity trapped-ion qubit operations with scalable photonic modulators
C. Hogle, D. Dominguez, M. Dong +5 more·Oct 25, 2022
Experiments with trapped ions and neutral atoms typically employ optical modulators in order to control the phase, frequency, and amplitude of light directed to individual atoms. These elements are expensive, bulky, consume substantial power, and oft...
Implementing Clifford Gates on Stabilizer Codes via Measurement
D. Banfield, Heather Leitch, A. Kay·Oct 25, 2022
We describe a method to use measurements and correction operations in order to implement the Clifford group in a stabilizer code, generalising a result from [Bombin,2011] for topological subsystem colour codes. In subsystem stabilizer codes of distan...