Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
The Fuzzy Bit
M. Aldana, M. Lledó·Nov 23, 2023
In this paper, the formulation of Quantum Mechanics in terms of fuzzy logic and fuzzy sets is explored. A result by Pykacz, which establishes a correspondence between (quantum) logics (lattices with certain properties) and certain families of fuzzy s...
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Mohammad Junayed Hasan, M.R.C. Mahdy·Nov 23, 2023
Quantum neural networks (QNNs), harnessing superposition and entanglement, have shown potential to surpass classical methods in complex learning tasks but remain limited by hardware constraints and noisy conditions. In this work, we present a novel f...
Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers
Ludwig Schmid, Sunghye Park, Robert Wille·Nov 23, 2023
Quantum computing based on Neutral Atoms (NAs) provides a wide range of computational capabilities, encompassing high-fidelity long-range interactions with native multi-qubit gates and the ability to shuttle arrays of qubits. While, previously, these...
Refinement calculus of quantum programs with projective assertions
Yuan Feng, Li Zhou, Yingte Xu +1 more·Nov 23, 2023
This paper presents a refinement calculus designed specifically for quantum programs, offering a structured approach to their progressive and modular development while ensuring correctness throughout the refinement process. We begin by investigating ...
Protein Structure Prediction with High Degrees of Freedom in a Gate-Based Quantum Computer.
Jaya Vasavi Pamidimukkala, S. Bopardikar, Avinash Dakshinamoorthy +3 more·Nov 23, 2023
Protein folding, which traces the protein three-dimensional (3D) structure from its amino acid sequence, is a half-a-century-old problem in biology. The function of the protein correlates with its structure, emphasizing the need to study protein fold...
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
Erik Terres Escudero, Danel Arias Alamo, Oier Mentxaka Gómez +1 more·Nov 23, 2023
In the race towards quantum computing, the potential benefits of quantum neural networks (QNNs) have become increasingly apparent. However, Noisy Intermediate-Scale Quantum (NISQ) processors are prone to errors, which poses a significant challenge fo...
Universal Quantum Computation via Superposed Orders of Single-Qubit Gates
Kyrylo Simonov, Marcello Caleffi, Jessica Illiano +2 more·Nov 22, 2023
Superposed orders of quantum channels have already been proved - both theoretically and experimentally - to enable unparalleled opportunities in the quantum communication domain. As a matter of fact, superposition of orders can be exploited within th...
Enigma: Application-Layer Privacy for Quantum Optimization on Untrusted Computers
Ramin Ayanzadeh, Ahmad Mousavi, Amirhossein Basareh +2 more·Nov 22, 2023
The Early Fault-Tolerant (EFT) era is emerging, where modest Quantum Error Correction (QEC) can enable quantum utility before full-scale fault tolerance. Quantum optimization is a leading candidate for early applications, but protecting these workloa...
Explicit error-correction scheme and code distance for bosonic codes with rotational symmetry
Benjamin Marinoff, Miles Bush, Joshua Combes·Nov 22, 2023
Bosonic codes with rotational symmetry are currently one of the best performing quantum error correcting codes. Little is known about error propagation and code distance for these rotation codes in contrast with qubit codes and Bosonic codes with tra...
Single-shot Quantum Signal Processing Interferometry
Jasmine Sinanan-Singh, G. Mintzer, I. Chuang +1 more·Nov 22, 2023
Quantum systems of infinite dimension, such as bosonic oscillators, provide vast resources for quantum sensing. Yet, a general theory on how to manipulate such bosonic modes for sensing beyond parameter estimation is unknown. We present a general alg...
Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies
Muhammad Kashif, Muhammad Rashid, S. Al-kuwari +1 more·Nov 22, 2023
Parameterized quantum circuits (PQCs) have emerged as a foundational element in the development and applications of quantum algorithms. However, when initialized with random parameter values, PQCs often exhibit barren plateaus (BP). These plateaus, c...
Hybrid III-V/Silicon Quantum Photonic Device Generating Broadband Entangled Photon Pairs
J. Schuhmann, L. Lazzari, M. Morassi +8 more·Nov 21, 2023
The demand for integrated photonic chips combining the generation and manipulation of quantum states of light is steadily increasing, driven by the need for compact and scalable platforms for quantum information technologies. While photonic circuits ...
Extracting Many-Body Quantum Resources within One-Body Reduced Density Matrix Functional Theory
Carlos L. Benavides-Riveros, Tomasz Wasak, Alessio Recati·Nov 21, 2023
Quantum Fisher information (QFI) is a central concept in quantum sciences used to quantify the ultimate precision limit of parameter estimation, detect quantum phase transitions, witness genuine multipartite entanglement, or probe nonlocality. Despit...
Testing the Accuracy of Surface Code Decoders
Arshpreet Singh Maan, A. Paler·Nov 21, 2023
Large-scale, fault-tolerant quantum computations will be enabled by quantum error-correcting codes (QECC). This work presents the first systematic technique to test the accuracy and effectiveness of different QECC decoding schemes by comparing a look...
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits
H. Gharibyan, V. Su, Hayk Tepanyan·Nov 21, 2023
We present hierarchical learning, a novel variational architecture for efficient training of large-scale variational quantum circuits. We test and benchmark our technique for distribution loading with quantum circuit born machines (QCBMs). With QCBMs...
The T-Complexity Costs of Error Correction for Control Flow in Quantum Computation
Charles Yuan, Michael Carbin·Nov 21, 2023
Numerous quantum algorithms require the use of quantum error correction to overcome the intrinsic unreliability of physical qubits. However, quantum error correction imposes a unique performance bottleneck, known as T-complexity, that can make an imp...
Fast adaptive optics for high-dimensional quantum communications in turbulent channels
Lukas Scarfe, F. Hufnagel, M. Ferrer-Garcia +3 more·Nov 21, 2023
Quantum Key Distribution (QKD) promises a provably secure method to transmit information from one party to another. Free-space QKD allows for this information to be sent over great distances and in places where fibre-based communications cannot be im...
Mod2VQLS: a Variational Quantum Algorithm for Solving Systems of Linear Equations Modulo 2
Willie Aboumrad, Dominic Widdows·Nov 21, 2023
This paper presents a system for solving binary-valued linear equations using quantum computers. The system is called Mod2VQLS, which stands for Modulo 2 Variational Quantum Linear Solver. As far as we know, this is the first such proposal. The desig...
Absorption-Emission Codes for Atomic and Molecular Quantum Information Platforms.
Shubham P. Jain, Eric R. Hudson, Wesley C. Campbell +1 more·Nov 21, 2023
Diatomic molecular codes [V. V. Albert, J. P. Covey, and J. Preskill, Robust encoding of a qubit in a molecule, Phys. Rev. X 10, 031050 (2020).PRXHAE2160-330810.1103/PhysRevX.10.031050] are designed to encode quantum information in the orientation of...
Limitations of measure-first protocols in quantum machine learning
Casper Gyurik, Riccardo Molteni, V. Dunjko·Nov 21, 2023
In recent works, much progress has been made with regards to so-called randomized measurement strategies, which include the famous methods of classical shadows and shadow tomography. In such strategies, unknown quantum states are first measured (or `...