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Found 14 papers, 5 papers with code
Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks
Our method is to derive a quadratic-unconstrained-binary formulation for the optimisation problem used for training a SVR model and solve this problem using annealing.
Optimal tests for continuous-variable quantum teleportation and photodetectors
In this work, we propose an optimal test for the performance of continuous-variable (CV) quantum teleportation in terms of the energy-constrained channel fidelity between ideal CV teleportation and its experimental implementation.
Quantum Physics Optics
Quantum Multiple Kernel Learning
Our method leverages the power of deterministic quantum computing with one qubit (DQC1) to estimate the combined kernel for a set of classically intractable individual quantum kernels.
Creating deterministic collisions between two orbiting bodies
We aim to create deterministic collisions between orbiting bodies by applying a time-dependent external force to one or both bodies, whether the bodies are mutually repulsive, as in the two- or multi-electron atomic case or mutually attractive, as in the planetary-orbit case.
Classical Physics
Qudits and high-dimensional quantum computing
Qudit is a multi-level computational unit alternative to the conventional 2-level qubit.
Quantum Physics
Multiple uncertainty relation for accelerated quantum information
The uncertainty principle, first introduced by Heisenberg in inertial frames, clearly distinguishes quantum theories from classical mechanics.
Quantum Physics General Relativity and Quantum Cosmology
Robustness of Quantum-Enhanced Adaptive Phase Estimation
As all physical adaptive quantum-enhanced metrology schemes operate under noisy conditions with only partially understood noise characteristics, so a practical control policy must be robust even for unknown noise.
Single-shot Adaptive Measurement for Quantum-enhanced Metrology
We construct a formal framework for AQEM by modeling the procedure as a decision-making process, and we derive the imprecision and the Cram\'{e}r-Rao lower bound with explicit dependence on the feedback policy.
Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics
Quantum control is valuable for various quantum technologies such as high-fidelity gates for universal quantum computing, adaptive quantum-enhanced metrology, and ultra-cold atom manipulation.
Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine Learning Approach
Three-qubit quantum gates are key ingredients for quantum error correction and quantum information processing.
High-Fidelity Single-Shot Toffoli Gate via Quantum Control
A single-shot Toffoli, or controlled-controlled-NOT, gate is desirable for classical and quantum information processing.
Quantum Physics Computational Physics
Quantum Computation with Coherent Spin States and the Close Hadamard Problem
The model is effective for problems where symmetries between the structure of the information associated with the problem and the structure of the unitary operators employed in the quantum algorithm can be exploited.
Quantum Physics
Quantum-circuit design for efficient simulations of many-body quantum dynamics
We construct an efficient autonomous quantum-circuit design algorithm for creating efficient quantum circuits to simulate Hamiltonian many-body quantum dynamics for arbitrary input states.
Quantum Physics
Quantum walks in higher dimensions
We analyze the quantum walk in higher spatial dimensions and compare classical and quantum spreading as a function of time.
Quantum Physics
