Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Logarithmic Depth Quantum Carry-Lookahead Modulo (2n - 1) Adder
Bhaskar Gaur, Edgard Muñoz-Coreas, H. Thapliyal·Jun 5, 2023
Quantum Computing is making significant advancements toward creating machines capable of implementing quantum algorithms in various fields, such as quantum cryptography, quantum image processing, and optimization. The development of quantum arithmeti...
Noise-Resilient and Reduced Depth Approximate Adders for NISQ Quantum Computing
Bhaskar Gaur, T. Humble, H. Thapliyal·Jun 5, 2023
The "Noisy intermediate-scale quantum" NISQ machine era primarily focuses on mitigating noise, controlling errors, and executing high-fidelity operations, hence requiring shallow circuit depth and noise robustness. Approximate computing is a novel co...
Preserving a qubit during adjacent measurements at a few micrometers distance
Sainath Motlakunta, Nikhil Kotibhaskar, C. Shih +6 more·Jun 5, 2023
Protecting a quantum object against irreversible accidental measurements from its surroundings is necessary for controlled quantum operations. This becomes especially challenging or unfeasible if one must simultaneously measure or reset a nearby obje...
Systems Architecture for Quantum Random Access Memory
Shifan Xu, Connor T. Hann, Ben Foxman +2 more·Jun 5, 2023
Operating on the principles of quantum mechanics, quantum algorithms hold the promise for solving problems that are beyond the reach of the best-available classical algorithms. An integral part of realizing such speedup is the implementation of quant...
Quantum Circuit Optimization of Arithmetic circuits using ZX Calculus
Aravind Joshi, Akshara Kairali, Renju Raju +4 more·Jun 4, 2023
Quantum computing is an emerging technology in which quantum mechanical properties are suitably utilized to perform certain compute-intensive operations faster than classical computers. Quantum algorithms are designed as a combination of quantum circ...
Enhancing quantum annealing in digital–analog quantum computing
T. Kadowaki·Jun 3, 2023
Digital–analog quantum computing (DAQC) offers a promising approach to addressing the challenges of building a practical quantum computer. By efficiently allocating resources between digital and analog quantum circuits, DAQC paves the way for achievi...
Simulating Noisy Quantum Circuits for Cryptographic Algorithms
Sahay Harshvardhan, Sanil Jain, J. McClure +2 more·Jun 3, 2023
The emergence of noisy intermediate-scale quantum (NISQ) computers has important consequences for cryptographic algorithms. It is theoretically well-established that key algorithms used in cybersecurity are vulnerable to quantum computers due to the ...
A Reference Architecture for Quantum Computing as a Service
Aakash Ahmad, A. B. Altamimi, J. Aqib·Jun 3, 2023
Quantum computers (QCs) aim to disrupt the status-quo of computing -- replacing traditional systems and platforms that are driven by digital circuits and modular software -- with hardware and software that operates on the principle of quantum mechani...
Quantum annealing-based computed tomography using variational approach for a real-number image reconstruction
A. Haga·Jun 3, 2023
Objective. Despite recent advancements in quantum computing, the limited number of available qubits has hindered progress in CT reconstruction. This study investigates the feasibility of utilizing quantum annealing-based computed tomography (QACT) wi...
Robust and scalable rf spectroscopy in first-order magnetic sensitive states at second-long coherence time
C. -H. Yeh, K. C. Grensemann, L. S. Dreissen +2 more·Jun 2, 2023
Trapped-ion quantum sensors have become highly sensitive tools for the search of physics beyond the Standard Model. Recently, stringent tests of local Lorentz-invariance (LLI) have been conducted with precision spectroscopy in trapped ions. We here e...
Validating an algebraic approach to characterizing resonator networks
V. R. Horowitz, B. Carter, Uriel Hernandez +2 more·Jun 2, 2023
Resonator networks are ubiquitous in natural and engineered systems, such as solid-state materials, electrical circuits, quantum processors, and even neural tissue. To understand and manipulate these networks it is essential to characterize their bui...
Generating and processing optical waveforms using spectral singularities
Asaf Farhi, A. Cerjan, A. Stone·Jun 2, 2023
We show that a laser at threshold can be utilized to generate the class of coherent and transform-limited waveforms $\left(vt-z\right)^{m}e^{i\left(kz-\omega t\right)}$ at optical frequencies.We derive these properties analytically and demonstrate th...
Efficient Quantum State Synthesis with One Query
G. Rosenthal·Jun 2, 2023
We present a polynomial-time quantum algorithm making a single query (in superposition) to a classical oracle, such that for every state $|\psi\rangle$ there exists a choice of oracle that makes the algorithm construct an exponentially close approxim...
Nonadiabatic Nuclear-Electron Dynamics: A Quantum Computing Approach.
Arseny Kovyrshin, Mårten Skogh, L. Tornberg +6 more·Jun 2, 2023
Coupled quantum electron-nuclear dynamics is often associated with the Born-Huang expansion of the molecular wave function and the appearance of nonadiabatic effects as a perturbation. On the other hand, native multicomponent representations of elect...
Clifford Orbits from Cayley Graph Quotients
Cynthia Keeler, William Munizzi, Jason Pollack·Jun 1, 2023
We describe the structure of the $n$-qubit Clifford group $C_n$ via Cayley graphs, whose vertices represent group elements and edges represent generators. In order to obtain the action of Clifford gates on a given quantum state, we introduce a quotie...
A general-purpose single-photon-based quantum computing platform
N. Maring, A. Fyrillas, M. Pont +24 more·Jun 1, 2023
Quantum computing aims at exploiting quantum phenomena to efficiently perform computations that are unfeasible even for the most powerful classical supercomputers. Among the promising technological approaches, photonic quantum computing offers the ad...
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
V. Skavysh, Sofia Priazhkina, Diego Guala +1 more·Jun 1, 2023
Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. We are the first to study whether Quantum Monte Carlo (QMC) algorithm can improve the runtime of economic applications and challenge...
Improving the Performance of Quantum Cryptography by Using the Encryption of the Error Correction Data
Valeria A. Pastushenko, D. A. Kronberg·Jun 1, 2023
Security of quantum key distribution (QKD) protocols rely solely on quantum physics laws, namely, on the impossibility to distinguish between non-orthogonal quantum states with absolute certainty. Due to this, a potential eavesdropper cannot extract ...
Effects of noise on performance of Bernstein-Vazirani algorithm
Archi Gupta, Priyarshini Ghosh, Kornikar Sen +1 more·May 31, 2023
The Bernstein-Vazirani (BV) algorithm offers exceptional accuracy in finding the hidden bit string of a function. We explore how the algorithm performs in real-world situations where noise can potentially interfere with its performance. In order to a...
Continuous-Variable Quantum Key Distribution at 10 GBaud using an Integrated Photonic-Electronic Receiver
A. Hajomer, C. Bruynsteen, Ivan Derkach +6 more·May 31, 2023
Quantum key distribution (QKD) is a well-known application of quantum information theory that guarantees information-theoretically secure key exchange. As QKD becomes more and more commercially viable, challenges such as scalability, network integrat...