Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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...
Fast charging of Lipkin-Meshkov-Glick quantum battery
Cheng-Jie Wang, Yuan-Jin Wang, Fu-Quan Dou·Aug 9, 2022
Fast charging is a pivotal and fundamental performance metric in quantum battery (QB) research. Here, we investigate the fast-charging performance of the Lipkin-Meshkov-Glick QB based on shortcuts to adiabaticity (STA). We mainly consider a scenario ...
Quantum artificial vision for defect detection in manufacturing
Daniel Guijo, Victor Onofre, G. Bimbo +7 more·Aug 9, 2022
In this paper we consider several algorithms for quantum computer vision using Noisy Intermediate-Scale Quantum (NISQ) devices, and benchmark them for a real problem against their classical counterparts. Specifically, we consider two approaches: a qu...
Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer
J. Durandau, Janis Wagner, F. Mailhot +4 more·Aug 9, 2022
A promising approach for scaling-up trapped-ion quantum computer platforms is by storing multiple trapped-ion qubit sets ('ion crystals') in segmented microchip traps and to interconnect these via physical movement of the ions ('shuttling'). Already ...
Modeling of planar germanium hole qubits in electric and magnetic fields
Chien-An Wang, Ercan Ekmel, M. Gyure +3 more·Aug 9, 2022
Hole-based spin qubits in strained planar germanium quantum wells have received considerable attention due to their favorable properties and remarkable experimental progress. The sizeable spin-orbit interaction in this structure allows for efficient ...
Jellybean Quantum Dots in Silicon for Qubit Coupling and On‐Chip Quantum Chemistry
Zeheng Wang, M. Feng, S. Serrano +15 more·Aug 8, 2022
The small size and excellent integrability of silicon metal–oxide–semiconductor (SiMOS) quantum dot spin qubits make them an attractive system for mass‐manufacturable, scaled‐up quantum processors. Furthermore, classical control electronics can be in...
Pure-state tomography with parallel unentangled measurements
Franccois Verdeil, Y. Deville·Aug 8, 2022
Quantum state tomography (QST) aims at estimating a quantum state from averaged quantum measurements made on copies of the state. Most quantum algorithms rely on QST at some point and it is a well explored topic in the literature, mostly for mixed st...
Quantum Finance: a tutorial on quantum computing applied to the financial market
Askery Canabarro, Taysa M. Mendoncca, Ranieri Nery +4 more·Aug 8, 2022
Previously only considered a frontier area of Physics, nowadays quantum computing is one of the fastest growing research field, precisely because of its technological applications in optimization problems, machine learning, information security and s...
Periodic plane-wave electronic structure calculations on quantum computers
D. Song, Nicholas P. Bauman, G. Prawiroatmodjo +7 more·Aug 8, 2022
A procedure for defining virtual spaces, and the periodic one-electron and two-electron integrals, for plane-wave second quantized Hamiltonians has been developed, and it was validated using full configuration interaction (FCI) calculations, as well ...
Recovery With Incomplete Knowledge: Fundamental Bounds on Real-Time Quantum Memories
Arshag Danageozian·Aug 8, 2022
Noise drift in quantum hardware is an important obstacle for scalable quantum computation, e.g. when performing complex quantum algorithms with runtimes exeeding the characteristic time of the noise drift. I address this problem by proposing drift-ad...
An Example of Use of Variational Methods in Quantum Machine Learning
Marco Simonetti, Damiano Perri, O. Gervasi·Aug 7, 2022
This paper introduces a deep learning system based on a quantum neural network for the binary classification of points of a specific geometric pattern (Two-Moons Classification problem) on a plane. We believe that the use of hybrid deep learning syst...
Effect of fast noise on the fidelity of trapped-ion quantum gates
Haim Nakav, R. Finkelstein, Lee Peleg +2 more·Aug 6, 2022
High fidelity single and multi-qubit operations compose the backbone of quantum information processing. This fidelity is based on the ability to couple single- or two-qubit levels in an extremely coherent and precise manner. A necessary condition for...
Implementation of photon partial distinguishability in a quantum optical circuit simulation
J. Osca, J. Vala·Aug 5, 2022
We are concerned with numerical simulations of quantum optical circuits under certain realistic conditions, specifically that photon quantum states are not perfectly indistinguishable. The partial photon distinguishability presents a serious limitati...
Schrieffer-Wolff Transformation on IBM Quantum Computer
R. Haq, B. Iqbal, M. Illahi +2 more·Aug 5, 2022
Schrieffer-Wolff transformation (SWT) has been extensively used in quantum many-body physics to calculate the low energy effective Hamiltonian. It provides a perturbative method to comprehend the renormalization effects of strong correlations in the ...
Influence of errors on the transport of quantum information through distant quantum dot spin qubits
Iann Cunha, L. Castelano·Aug 5, 2022
The ability to connect distant qubits plays a fundamental role in quantum computing. Therefore, quantum systems candidates for quantum computation must be able to interact all their constituent qubits. Here, we model the quantum dot spin qubits by a ...
Overcoming exponential scaling with system size in Trotter-Suzuki implementations of constrained Hamiltonians: 2+1 U(1) lattice gauge theories
D. Grabowska, Christopher Kane, B. Nachman +1 more·Aug 5, 2022
For many quantum systems of interest, the classical computational cost of simulating their time evolution scales exponentially in the system size. At the same time, quantum computers have been shown to allow for simulations of some of these systems u...
Hybrid Gate-Based and Annealing Quantum Computing for Large-Size Ising Problems
Chen-Yu Liu, H. Goan·Aug 5, 2022
One of the major problems of most quantum computing applications is that the required number of qubits to solve a practical problem is much larger than that of today’s quantum hardware. Therefore, finding a way to make the best of today’s quantum hard...
Finite-size criticality in fully connected spin models on superconducting quantum hardware.
M. Grossi, Oriel Kiss, Francesco De Luca +3 more·Aug 4, 2022
The emergence of a collective behavior in a many-body system is responsible for the quantum criticality separating different phases of matter. Interacting spin systems in a magnetic field offer a tantalizing opportunity to test different approaches t...
Multi-mode architectures for noise-resilient superconducting qubits
A. Calzona, M. Carrega·Aug 4, 2022
Great interest revolves around the development of new strategies to efficiently store and manipulate quantum information in a robust and decoherence-free fashion. Several proposals have been put forward to encode information into qubits that are simu...
Quantum Error Correction Via Noise Guessing Decoding
Diogo Cruz, F. A. Monteiro, B. Coutinho·Aug 4, 2022
Quantum error correction codes (QECCs) play a central role in both quantum communications and quantum computation. Practical quantum error correction codes, such as stabilizer codes, are generally structured to suit a specific use, and present rigid ...