Papers
Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
Ryo Suzuki, Shohei Watabe·Apr 9, 2026
Efficient ground state search is fundamental to advancing combinatorial optimization problems and quantum chemistry. While the Variational Imaginary Time Evolution (VITE) method offers a useful alternative to Variational Quantum Eigensolver (VQE), an...
Hardware-Aware Quantum Support Vector Machines
Adil Mubashir Chaudhry, Ali Raza Haider, Hanzla Khan +1 more·Apr 9, 2026
Deploying quantum machine learning algorithms on near-term quantum hardware requires circuits that respect device-specific gate sets, connectivity constraints, and noise characteristics. We present a hardware-aware Neural Architecture Search (NAS) ap...
Analysis of State Teleportation using Noisy Quantum Gates
Imama Tul Birrah Khan, Muhammad Faryad·Apr 9, 2026
Noise is a major challenge in quantum computing, affecting the reliability of quantum protocols. In this work, we analytically study the impact of various noise processes, such as depolarization, bit flip, and phase flip, on the quantum state telepor...
Energy-Efficient Drone Logistics for Last-Mile Delivery: Implications of Payload-Dependent Routing Strategies
Ziyue Li, Qianwen, Guo +1 more·Apr 8, 2026
Drone delivery is rapidly emerging as a cost-effective and energy efficient alternative for last-mile delivery. Unlike ground vehicles, a drone's energy consumption depends on its payload in addition to travel distance. This creates a unique environm...
Observation of genuine $2+1$D string dynamics in a U$(1)$ lattice gauge theory with a tunable plaquette term on a trapped-ion quantum computer
Rohan Joshi, Yizhuo Tian, Kevin Hemery +5 more·Apr 8, 2026
Quantum simulations of high-energy physics in $2+1$D can probe dynamical phenomena nonexistent in one spatial dimension and access regimes that are challenging for existing classical simulation methods. For string dynamics -- relevant to hadronizatio...
Observation of glueball excitations and string breaking in a $2+1$D $\mathbb{Z}_2$ lattice gauge theory on a trapped-ion quantum computer
Kaidi Xu, Umberto Borla, Kevin Hemery +4 more·Apr 8, 2026
A major goal of the quantum simulation of high-energy physics (HEP) is to probe real-time nonperturbative far-from-equilibrium quantum processes underlying phenomena such as hadronization in quantum chromodynamics (QCD). The quantum simulation of the...
On the Computational Complexity of Geometrically Local QAC0 circuits
Yangjing Dong, Fengning Ou, Penghui Yao·Apr 8, 2026
The computational complexity of $\mathsf{QAC}^0$, which are constant-depth, polynomial-size quantum circuit families consisting of arbitrary single-qubit unitaries and $n$-qubit generalized Toffoli gates, has gained tremendous focus recently. In this...
Robust and High-Fidelity Controlled Two-Qubit Gates via Asymmetric Parallel Resonant Excitation
Licheng Lin, Jize Han, Peng Zhu +4 more·Apr 8, 2026
Implementing high-fidelity controlled two-qubit gates in dipole-dipole interacting systems, such as rare-earth-ion crystals, in hindered by spectral inhomogeneity and weak coupling. Existing method often rely on detuned pulses, making them susceptibl...
A hardware efficient quantum residual neural network without post-selection
Amena Khatun, Akib Karim, Muhammad Usman·Apr 8, 2026
We propose a hardware efficient quantum residual neural network which implements residual connections through a deterministic linear combination of identity and variational unitaries, enabling fully differentiable training. In contrast to the previou...
Quantum simulation of baryon scattering in SU(2) lattice gauge theory
João Barata, Juan Hormaza, Zhong-Bo Kang +1 more·Apr 8, 2026
We present a first real-time study of hadronic scattering in a $(1+1)$-dimensional SU(2) lattice gauge theory with fundamental fermions using tensor-network techniques. Working in the gaugeless Hamiltonian formulation, we investigate scattering proce...
Environment-Assisted Decoherence Suppression of Optical Non-Gaussian States
Akihiro Machinaga, Naoki Aritomi, Ryoga Sakurada +10 more·Apr 8, 2026
Optical loss is a common bottleneck in photonic quantum information processing, undermining the quantum advantage over classical approaches. Although several countermeasures, such as quantum distillation and error correction, have been proposed, they...
Quantifying magic via quantum $(α,β)$ Jensen-Shannon divergence
Linmao Wang, Zhaoqi Wu·Apr 8, 2026
Magic states play an important role in fault-tolerant quantum computation, and so the quantification of magic for quantum states is of great significance. In this work, we propose two new magic quantifiers by introducing two versions of quantum $(α,β...
Deterministic linear-optical computing with symmetry-based qubits
David S. Simon, Christopher R. Schwarze, Anthony D. Manni +2 more·Apr 8, 2026
A particular type of linear optical multiport, the Grover four-port, has previously been shown to couple the spatial symmetry of a photon to its direction of travel. It is shown here that use of a nonstandard choice of qubit, based on symmetry, allow...
Soft-Quantum Algorithms
Basil Kyriacou, Mo Kordzanganeh, Maniraman Periyasamy +1 more·Apr 7, 2026
Quantum operations on pure states can be fully represented by unitary matrices. Variational quantum circuits, also known as quantum neural networks, embed data and trainable parameters into gate-based operations and optimize the parameters via gradie...
Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy +1 more·Apr 7, 2026
Efficient data loading remains a bottleneck for near-term quantum machine-learning. Existing schemes (angle, amplitude, and basis encoding) either underuse the exponential Hilbert-space capacity or require circuit depths that exceed the coherence bud...
Nonvariational quantum optimisation approaches to pangenome-guided sequence assembly
Josh Cudby, Sergii Strelchuk·Apr 7, 2026
Assembling genomes from short-read sequencing data remains difficult in repetitive regions, where reference bias and combinatorial complexity limit existing methods. Pangenome-guided sequence assembly (PGSA) mitigates reference bias by reconstructing...
Adaptive Deformation of Color Code in Square Lattices with Defects
Tian-Hao Wei, Jia-Xuan Zhang, Jia-Ning Li +3 more·Apr 7, 2026
Quantum error correction is a crucial technology for fault tolerant quantum computing. On superconducting platforms, hardware defects in large scale quantum processors can disrupt the regular lattice structure of topological codes and impair their er...
Coherence and Imaginarity as Resources in Quantum Circuit Complexity
Linlin Ye, Zhaoqi Wu, Nanrun Zhou·Apr 7, 2026
Quantum circuit complexity quantifies the minimal number of gates needed to realize a unitary transformation and plays a central role in quantum computation. In this work, we investigate the complexity of quantum circuits through coherence and imagin...
A Digital Spreading Framework for Quantum Expectation Computation Without Rotation Gates or Arithmetic Circuits
Yu-Ting Kao, Yeong-Jar Chang·Apr 7, 2026
In the pursuit of quantum advantage for financial engineering, researchers face a critical dilemma: analog rotation gates suffer from inherent 'sine-to-square' biases and error magnification, while digital arithmetic circuits (e.g., WeightedAdder) in...
Molecular Excited States using Quantum Subspace Methods: Accuracy, Resource Reduction, and Error-Mitigated Hardware Implementation of q-sc-EOM
Srivathsan Poyyapakkam Sundar, Prince Frederick Kwao, Alexey Galda +1 more·Apr 7, 2026
Problems in quantum chemical simulations, especially achieving accurate excited-state potential energy surfaces, are among the primary applications to achieve quantum utility. On near-term quantum hardware, variants of the variational quantum eigenso...