Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
BQP $=$ PSPaCE
Shibdas Roy·Jan 24, 2023
The complexity class $PSPACE$ includes all computational problems that can be solved by a classical computer with polynomial memory. All $PSPACE$ problems are known to be solvable by a quantum computer too with polynomial memory and are, thus, known ...
Solving Graph Problems with Single-Photons and Linear Optics
R. Mezher, Ana Filipa Carvalho, Shane Mansfield·Jan 23, 2023
An important challenge for current and near-term quantum devices is finding useful tasks that can be preformed on them. We first show how to efficiently encode a bounded $n\times n$ matrix $A$ into a linear optical circuit with $2n$ modes. We then ap...
Notes on Quantum Computation and Information
Raghav G. Jha·Jan 23, 2023
We discuss fundamentals of quantum computing and information - quantum gates, circuits, algorithms, theorems, error correction, and provide collection of QISKIT programs and exercises for the interested reader.
Scalable Quantum Error Correction for Surface Codes Using FPGA
Namitha Liyanage, Yue Wu, Alexander Dennisovich Deters +1 more·Jan 20, 2023
A fault-tolerant quantum computer must decode and correct errors faster than they appear. The faster errors can be corrected, the more time the computer can do useful work. The Union-Find (UF) decoder is promising with an average time complexity slig...
User Trajectory Prediction in Mobile Wireless Networks Using Quantum Reservoir Computing
Zoubeir Mlika, S. Cherkaoui, J. Laprade +1 more·Jan 20, 2023
This paper applies a quantum machine learning technique to predict mobile users' trajectories in mobile wireless networks using an approach called quantum reservoir computing (QRC). Mobile users' trajectories prediction belongs to the task of tempora...
Improved Real‐Time Post‐Processing for Quantum Random Number Generators
Q. Li, Xiaoming Sun, Xingjian Zhang +1 more·Jan 20, 2023
Randomness extraction is a key problem in cryptography and theoretical computer science. With the recent rapid development of quantum cryptography, quantum‐proof randomness extraction has also been widely studied, addressing the security issues in th...
Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing
Andrew K. Tan, Yuan Liu, Minh C. Tran +1 more·Jan 20, 2023
The intrinsic probabilistic nature of quantum systems makes error correction or mitigation indis-pensable for quantum computation. While current error-correcting strategies focus on correcting errors in quantum states or quantum gates, these fine-grai...
Automated extraction of capacitive coupling for quantum dot systems
J. Ziegler, F. Luthi, Michael S. Ramsey +3 more·Jan 20, 2023
Gate-defined quantum dots (QDs) have appealing attributes as a quantum computing platform. However, near-term devices possess a range of possible imperfections that need to be accounted for during the tuning and operation of QD devices. One such prob...
4-clique Network Minor Embedding for Quantum Annealers
Elijah Pelofske·Jan 20, 2023
Quantum annealing is a quantum algorithm for computing solutions to combinatorial optimization problems. This study proposes a method for minor embedding optimization problems onto sparse quantum annealing hardware graphs called 4-clique network mino...
Radiation-induced secondary emissions in solid-state devices as a possible contribution to quasiparticle poisoning of superconducting circuits
F. Ponce, J. Orrell, Zheming Wang·Jan 19, 2023
This report estimates the potential for secondary emission processes induced by ionizing radiation to result in the generation of quasiparticles in superconducting circuits. These estimates are based on evaluation of data collected from a small super...
Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs
J. Balewski, Mercy G. Amankwah, R. Beeumen +3 more·Jan 19, 2023
Compact quantum data representations are essential to the emerging field of quantum algorithms for data analysis. We introduce two new data encoding schemes, QCrank and QBArt, which have a high degree of quantum parallelism through uniformly controll...
Disentangling Losses in Tantalum Superconducting Circuits
K. Crowley, Russell A McLellan, Aveek Dutta +19 more·Jan 19, 2023
Superconducting qubits are a leading system for realizing large scale quantum processors, but overall gate fidelities suffer from coherence times limited by microwave dielectric loss. Recently discovered tantalum-based qubits exhibit record lifetimes...
Fault-tolerant quantum algorithms
Pablo Antonio Moreno Casares·Jan 19, 2023
The framework of this thesis is fault-tolerant quantum algorithms. Grover's algorithm and quantum walks are described in Chapter 2. We start by highlighting the central role that rotations play in quantum algorithms, explaining Grover's, why it is op...
Characterizing quantum processors using discrete time crystals
Victoria Zhang, P. Nation·Jan 18, 2023
We present a method for characterizing the performance of noisy quantum processors using discrete time crystals. Deviations from ideal persistent oscillatory behavior give rise to numerical scores by which relative quantum processor capabilities can ...
Near-Landauer-Bound Quantum Computing Engineering Using Single Spins
Frank Z. Wang·Jan 18, 2023
Quantum computing engineering integrates quantum electronic engineering and computer science required to develop quantum computer hardware and software. In this study, we used four experiments (a single spin experiment, a giant spin experiment, a nan...
An Automata-Based Framework for Verification and Bug Hunting in Quantum Circuits
Yu-Fang Chen, Kai-Min Chung, Ondřej Lengál +3 more·Jan 18, 2023
We introduce a new paradigm for analysing and finding bugs in quantum circuits. In our approach, the problem is given by a triple {P} C {Q} and the question is whether, given a set P of quantum states on the input of a circuit C, the set of quantum s...
Information scrambling and entanglement in quantum approximate optimization algorithm circuits
Chen Qian, Wei-Feng Zhuang, R. Guo +2 more·Jan 18, 2023
Variational quantum algorithms, which consist of optimal parameterized quantum circuits, are promising for demonstrating quantum advantages in the noisy intermediate-scale quantum (NISQ) era. Apart from classical computational resources, different ki...
Enhancing quantum computer performance via symmetrization
A. Maksymov, Jason H. V. Nguyen, Y. Nam +1 more·Jan 18, 2023
Large quantum computers promise to solve some critical problems not solvable otherwise. However, modern quantum technologies suffer various imperfections such as control errors and qubit decoherence, inhibiting their potential utility. The overheads o...
Quantum Neural Network Inspired Hardware Adaptable Ansatz for Efficient Quantum Simulation of Chemical Systems.
Xiongzhi Zeng, Yi Fan, Jie Liu +2 more·Jan 18, 2023
The variational quantum eigensolver is a promising way to solve the Schrödinger equation on a noisy intermediate-scale quantum (NISQ) computer, while its success relies on a well-designed wave function ansatz. Inspired by the quantum neural network, ...
Realization of Scalable Cirac-Zoller Multi-Qubit Gates
Chao Fang, Ye Wang, Ke-jia Sun +1 more·Jan 18, 2023
The universality theorem in quantum computing states that any quantum computational task can be decomposed into a finite set of logic gates operating on one and two qubits. However, the process of such decomposition is generally inefficient, often le...