Resource Constraint Estimation of In-Quantum Implementated Mini-AES
- URL: http://arxiv.org/abs/2503.06566v1
- Date: Sun, 09 Mar 2025 11:44:11 GMT
- Title: Resource Constraint Estimation of In-Quantum Implementated Mini-AES
- Authors: Syed Shahmir, Ghulam Murtaza, Ala-Al-Fuqaha, Saif Al-Kuwari, Tasawar Abbas,
- Abstract summary: We present an easy-to-implement method using a conventional arithmetic number field approach.<n>We give a Python code that can generate a Qiskit code for the quantum implementation of similar cryptographic S-boxes.
- Score: 1.7378260004351704
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The advancement in quantum technology has brought the implementation of Grover's Search attack on cybersecurity algorithms much closer to reality. For such tasks, the Hilbert space has to be designed to make the relation between the input and output of these cryptographic algorithms in quantum circuits. Also, these algorithms are tested on current quantum simulators such as Qiskit, where memory constraints and limited processing power are hurdles. Here, we present an easy-to-implement method using a conventional arithmetic number field approach which can be applied to quantum circuits by CNOT and Toffoli gates, while focusing on resource constraints. Also, we give a Python code that can generate a Qiskit code for the quantum implementation of similar cryptographic S-boxes using the CNOT and 3-Tofflie gates by using simple logic presented in this paper.
Related papers
- Q-Fusion: Diffusing Quantum Circuits [2.348041867134616]
We propose a diffusion-based algorithm leveraging the LayerDAG framework to generate new quantum circuits.
Our results demonstrate that the proposed model consistently generates 100% valid quantum circuit outputs.
arXiv Detail & Related papers (2025-04-29T14:10:10Z) - A Toffoli Gate Decomposition via Echoed Cross-Resonance Gates [0.0]
A fully functional and scalable quantum computer could transform various fields such as scientific research, material science, chemistry, and drug discovery.<n>Quantum hardware faces challenges including decoherence, gate infidelity, and restricted qubit connectivity.<n>This paper introduces a novel decomposition of the Toffoli gate using Echoed Cross-Resonance (ECR) gates.
arXiv Detail & Related papers (2025-01-04T07:55:32Z) - Quantum Compiling with Reinforcement Learning on a Superconducting Processor [55.135709564322624]
We develop a reinforcement learning-based quantum compiler for a superconducting processor.
We demonstrate its capability of discovering novel and hardware-amenable circuits with short lengths.
Our study exemplifies the codesign of the software with hardware for efficient quantum compilation.
arXiv Detail & Related papers (2024-06-18T01:49:48Z) - A multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method [39.671915199737846]
We introduce a multiple-circuit algorithm for a quantum lattice Boltzmann method (QLBM) solve of the incompressible Navier--Stokes equations.<n>The presented method is validated and demonstrated for 2D lid-driven cavity flow.
arXiv Detail & Related papers (2024-01-20T15:32:01Z) - 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) - Enhancing variational quantum state diagonalization using reinforcement
learning techniques [1.583327010995414]
We tackle the problem of designing a very shallow quantum circuit, required in the quantum state diagonalization task.
We use a novel encoding method for the RL-state, a dense reward function, and an $epsilon$-greedy policy to achieve this.
We demonstrate that the circuits proposed by the reinforcement learning methods are shallower than the standard variational quantum state diagonalization algorithm.
arXiv Detail & Related papers (2023-06-19T17:59:04Z) - Iterative Qubits Management for Quantum Index Searching in a Hybrid
System [56.39703478198019]
IQuCS aims at index searching and counting in a quantum-classical hybrid system.
We implement IQuCS with Qiskit and conduct intensive experiments.
Results demonstrate that it reduces qubits consumption by up to 66.2%.
arXiv Detail & Related papers (2022-09-22T21:54:28Z) - Parametric Synthesis of Computational Circuits for Complex Quantum
Algorithms [0.0]
The purpose of our quantum synthesizer is enabling users to implement quantum algorithms using higher-level commands.
The proposed approach for implementing quantum algorithms has a potential application in the field of machine learning.
arXiv Detail & Related papers (2022-09-20T06:25:47Z) - Quantum circuit debugging and sensitivity analysis via local inversions [62.997667081978825]
We present a technique that pinpoints the sections of a quantum circuit that affect the circuit output the most.
We demonstrate the practicality and efficacy of the proposed technique by applying it to example algorithmic circuits implemented on IBM quantum machines.
arXiv Detail & Related papers (2022-04-12T19:39:31Z) - Circuit Symmetry Verification Mitigates Quantum-Domain Impairments [69.33243249411113]
We propose circuit-oriented symmetry verification that are capable of verifying the commutativity of quantum circuits without the knowledge of the quantum state.
In particular, we propose the Fourier-temporal stabilizer (STS) technique, which generalizes the conventional quantum-domain formalism to circuit-oriented stabilizers.
arXiv Detail & Related papers (2021-12-27T21:15:35Z) - Efficient realization of quantum algorithms with qudits [0.70224924046445]
We propose a technique for an efficient implementation of quantum algorithms with multilevel quantum systems (qudits)
Our method uses a transpilation of a circuit in the standard qubit form, which depends on the parameters of a qudit-based processor.
We provide an explicit scheme of transpiling qubit circuits into sequences of single-qudit and two-qudit gates taken from a particular universal set.
arXiv Detail & Related papers (2021-11-08T11:09:37Z) - Synthesis of Quantum Circuits with an Island Genetic Algorithm [44.99833362998488]
Given a unitary matrix that performs certain operation, obtaining the equivalent quantum circuit is a non-trivial task.
Three problems are explored: the coin for the quantum walker, the Toffoli gate and the Fredkin gate.
The algorithm proposed proved to be efficient in decomposition of quantum circuits, and as a generic approach, it is limited only by the available computational power.
arXiv Detail & Related papers (2021-06-06T13:15:25Z) - Space-efficient binary optimization for variational computing [68.8204255655161]
We show that it is possible to greatly reduce the number of qubits needed for the Traveling Salesman Problem.
We also propose encoding schemes which smoothly interpolate between the qubit-efficient and the circuit depth-efficient models.
arXiv Detail & Related papers (2020-09-15T18:17:27Z)
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.