n-Qubit Operations on Sphere and Queueing Scaling Limits for
Programmable Quantum Computer
- URL: http://arxiv.org/abs/2109.14266v1
- Date: Wed, 29 Sep 2021 08:24:12 GMT
- Title: n-Qubit Operations on Sphere and Queueing Scaling Limits for
Programmable Quantum Computer
- Abstract summary: We study n-qubit operation rules on (n+1)-sphere with the target to help developing a (photon or other technique) based programmable quantum computer.
We derive the scaling limits for n-qubit quantum computer based queueing systems under two different heavy traffic regimes.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We study n-qubit operation rules on (n+1)-sphere with the target to help
developing a (photon or other technique) based programmable quantum computer.
In the meanwhile, we derive the scaling limits (called reflecting Gaussian
random fields on a (n+1)-sphere) for n-qubit quantum computer based queueing
systems under two different heavy traffic regimes. The queueing systems are
with multiple classes of users and batch quantum random walks over the
$(n+1)$-sphere as arrival inputs. In the first regime, the qubit number $n$ is
fixed and the scaling is in terms of both time and space. Under this regime,
performance modeling during deriving the scaling limit in terms of balancing
the arrival and service rates under first-in first-out and work conserving
service policy is conducted. In the second regime, besides the time and space
scaling parameters, the qubit number $n$ itself is also considered as a varying
scaling parameter with the additional aim to find a suitable number of qubits
for the design of a quantum computer. This regime is in contrast to the
well-known Halfin-Whitt regime.
Related papers
- Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework [0.0787796182001592]
Training Variational Quantum Circuits (VQCs) under Noisy Intermediate-Scale Quantum (NISQ) constraints introduces severe computational limitations.<n>This paper introduces and evaluates the Quantum Algorithm for Distributed Reduction of Entanglements (QADR)<n>QADR decomposes a global $n$-qubit VQC into localized sub-circuits operating approximately within the causal light cones of individual target qubits.
arXiv Detail & Related papers (2026-05-31T15:23:10Z) - Solving larger Travelling Salesman Problem networks with a penalty-free Variational Quantum Algorithm [5.690622599243828]
The Travelling Salesman Problem (TSP) is a well-known NP-Hard problem, with industrial use cases such as last-mile delivery.<n>We present high quality solutions in noise-free simulations of networks with up to twelve locations using a hybrid penalty-free, circuit-model.
arXiv Detail & Related papers (2025-12-06T18:21:21Z) - Distributed quantum algorithm for divergence estimation and beyond [16.651306526783564]
We propose a distributed quantum algorithm framework to compute $rm Tr(f(A)g(B))$ within an additive error $varepsilon$.
This framework holds broad applicability across a range of distributed quantum computing tasks.
arXiv Detail & Related papers (2025-03-12T14:28:22Z) - Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance [67.77677387243135]
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML)
At the core of QNC is the quantum perceptron (QP), which leverages the analog dynamics of interacting qubits to enable universal quantum computation.
arXiv Detail & Related papers (2024-11-13T23:56:20Z) - High-Entanglement Capabilities for Variational Quantum Algorithms: The Poisson Equation Case [0.07366405857677226]
This research attempts to resolve problems by utilizing the IonQ Aria quantum computer capabilities.
We propose a decomposition of the discretized equation matrix (DPEM) based on 2- or 3-qubit entanglement gates and is shown to have $O(1)$ terms with respect to system size.
We also introduce the Globally-Entangling Ansatz which reduces the parameter space of the quantum ansatz while maintaining enough expressibility to find the solution.
arXiv Detail & Related papers (2024-06-14T16:16:50Z) - Scalable Quantum Algorithms for Noisy Quantum Computers [0.0]
This thesis develops two main techniques to reduce the quantum computational resource requirements.
The aim is to scale up application sizes on current quantum processors.
While the main focus of application for our algorithms is the simulation of quantum systems, the developed subroutines can further be utilized in the fields of optimization or machine learning.
arXiv Detail & Related papers (2024-03-01T19:36:35Z) - QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum
Circuits [82.50620782471485]
QuantumSEA is an in-time sparse exploration for noise-adaptive quantum circuits.
It aims to achieve two key objectives: (1) implicit circuits capacity during training and (2) noise robustness.
Our method establishes state-of-the-art results with only half the number of quantum gates and 2x time saving of circuit executions.
arXiv Detail & Related papers (2024-01-10T22:33:00Z) - A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games [102.46640028830441]
We introduce the Optimistic Matrix Multiplicative Weights Update (OMMWU) algorithm and establish its average-iterate convergence complexity as $mathcalO(d/epsilon)$ to $epsilon$-Nash equilibria.
This quadratic speed-up sets a new benchmark for computing $epsilon$-Nash equilibria in quantum zero-sum games.
arXiv Detail & Related papers (2023-11-17T20:38:38Z) - GRAPE optimization for open quantum systems with time-dependent
decoherence rates driven by coherent and incoherent controls [77.34726150561087]
The GRadient Ascent Pulse Engineering (GRAPE) method is widely used for optimization in quantum control.
We adopt GRAPE method for optimizing objective functionals for open quantum systems driven by both coherent and incoherent controls.
The efficiency of the algorithm is demonstrated through numerical simulations for the state-to-state transition problem.
arXiv Detail & Related papers (2023-07-17T13:37:18Z) - Efficient Quantum Simulation of Electron-Phonon Systems by Variational
Basis State Encoder [12.497706003633391]
Digital quantum simulation of electron-phonon systems requires truncating infinite phonon levels into $N$ basis states.
We propose a variational basis state encoding algorithm that reduces the scaling of the number of qubits and quantum gates.
arXiv Detail & Related papers (2023-01-04T04:23:53Z) - Towards Neural Variational Monte Carlo That Scales Linearly with System
Size [67.09349921751341]
Quantum many-body problems are central to demystifying some exotic quantum phenomena, e.g., high-temperature superconductors.
The combination of neural networks (NN) for representing quantum states, and the Variational Monte Carlo (VMC) algorithm, has been shown to be a promising method for solving such problems.
We propose a NN architecture called Vector-Quantized Neural Quantum States (VQ-NQS) that utilizes vector-quantization techniques to leverage redundancies in the local-energy calculations of the VMC algorithm.
arXiv Detail & Related papers (2022-12-21T19:00:04Z) - Quantum Simulation of Open Quantum Systems Using Density-Matrix
Purification [0.0]
We present a general framework for OQSs where the system's $d times d$ density matrix is recast as a $d2$ wavefunction.
We demonstrate this method on a two-level system in a zero temperature amplitude damping channel and a two-site quantum Ising model.
arXiv Detail & Related papers (2022-07-14T17:59:19Z) - Quantum algorithms for grid-based variational time evolution [36.136619420474766]
We propose a variational quantum algorithm for performing quantum dynamics in first quantization.
Our simulations exhibit the previously observed numerical instabilities of variational time propagation approaches.
arXiv Detail & Related papers (2022-03-04T19:00:45Z) - Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems.
By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
arXiv Detail & Related papers (2021-08-03T17:49:09Z) - Communication Cost of Quantum Processes [49.281159740373326]
A common scenario in distributed computing involves a client who asks a server to perform a computation on a remote computer.
An important problem is to determine the minimum amount of communication needed to specify the desired computation.
We analyze the total amount of (classical and quantum) communication needed by a server in order to accurately execute a quantum process chosen by a client.
arXiv Detail & Related papers (2020-02-17T08:51:42Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.