Unveiling Energetic Advantage in Superconducting Cat-Qubits Quantum Computation
- URL: http://arxiv.org/abs/2605.19854v1
- Date: Tue, 19 May 2026 13:46:54 GMT
- Title: Unveiling Energetic Advantage in Superconducting Cat-Qubits Quantum Computation
- Abstract summary: The energy consumption of the Semiclassical Quantum Fourier Transform was analyzed on a superconducting quantum computing platform based on cat qubits.<n>A comparative study with state-of-the-art classical computers indicates a potential quantum energetic advantage for systems with more than 26 qubits.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum computers are emerging as a promising new technology due to their ability to solve complex problems that exceed the capabilities of classical systems in terms of time. Among various implementations, superconducting qubits have become the leading technology due to their scalability and compatibility with quantum error correction mechanisms. Although time has traditionally been the primary focus, energetic efficiency is becoming an increasingly important consideration, especially with the possibility of a quantum energetic advantage. In this article, the energy consumption of the Semiclassical Quantum Fourier Transform was analyzed on a superconducting quantum computing platform based on cat qubits. Quantum error correction mechanisms were studied and considered in the energy estimations. The results show how the energy consumption scales with the number of qubits and how the most relevant parameters required for qubit stabilization, gate implementation, and error correction codes contribute to the overall energy usage. An optimization method was developed to tune these parameters with the goal of minimizing energy consumption while maintaining qubit fidelities above a given threshold. Additionally, a comparative study with state-of-the-art classical computers indicates a potential quantum energetic advantage for systems with more than 26 qubits, assuming cryogenic systems operating at Carnot efficiency, with this energetic advantage arising before any computational advantage. This behavior persists even when realistic cryogenic systems and control electronics are taken into account.
Related papers
- Strategic Plan for Neutral Atom Quantum Computation [84.56908019536233]
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements.<n>The concept of practical quantum advantage is defined, along with how to verify claims of advantage, and approaches to designing quantum algorithms that deliver practical advantage.
arXiv Detail & Related papers (2026-07-23T17:36:19Z) - Enabling large-scale digital quantum simulations with superconducting qubits [0.0]
Digital quantum simulation could transform fields such as quantum chemistry, condensed matter physics, and materials science.<n>The envisaged long-term solution of fault-tolerant quantum computers that correct their own errors remains out of reach mainly due to the associated qubit number overhead.<n>This thesis contributes to this broader effort by exploring methods for advancing quantum simulation across the full computational stack.
arXiv Detail & Related papers (2026-02-04T16:29:55Z) - Quantum Energetic Advantage before Computational Advantage in Boson Sampling [0.0]
We analyze the energy required to solve the Boson Sampling problem using a realistic photonic quantum computing architecture.<n>By comparing the energy consumption of quantum and state-of-the-art classical implementations, we demonstrate the existence of a quantum energetic advantage.
arXiv Detail & Related papers (2026-01-12T23:22:21Z) - Energetics of Rydberg-atom Quantum Computing [0.0]
Rydberg atoms have emerged recently as one of the most promising platforms to implement a large-scale quantum computer.<n>This work aims at investigating the energy consumption of the different elements of a Rydberg atom quantum computer.
arXiv Detail & Related papers (2026-01-06T16:11:19Z) - Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers [51.56484100374058]
This thesis is centered around simulating quantum dynamics on quantum devices.<n>We present an overview of the most relevant quantum algorithms for quantum dynamics.<n>We identify relevant problems within quantum dynamics that could benefit from quantum simulation in the near future.
arXiv Detail & Related papers (2025-08-29T10:37:19Z) - Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors [64.50565018996328]
We introduce the concept of predictive surrogates, designed to emulate the mean-value behavior of a given quantum processor with provably computational efficiency.<n>We use these surrogates to emulate a quantum processor with up to 20 programmable superconducting qubits, enabling efficient pre-training of variational quantum eigensolvers.<n> Experimental results reveal that the predictive surrogates not only reduce measurement overhead by orders of magnitude, but can also surpass the performance of conventional, quantum-resource-intensive approaches.
arXiv Detail & Related papers (2025-07-23T12:51:03Z) - Expressibility, entangling power and quantum average causal effect for causally indefinite circuits [37.69303106863453]
We implement parameterized quantum circuits with definite and indefinite causal order.<n>One of these is the expressibility, which measures how uniformly a given quantum circuit can reach the whole Hilbert space.<n>We find a correlation between the quantum average causal effect and the entangling power.
arXiv Detail & Related papers (2024-11-13T13:53:02Z) - Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers.
Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
arXiv Detail & Related papers (2024-06-17T14:10:10Z) - Bias-field digitized counterdiabatic quantum optimization [39.58317527488534]
We call this protocol bias-field digitizeddiabatic quantum optimization (BF-DCQO)
Our purely quantum approach eliminates the dependency on classical variational quantum algorithms.
It achieves scaling improvements in ground state success probabilities, increasing by up to two orders of magnitude.
arXiv Detail & Related papers (2024-05-22T18:11:42Z) - Towards Energetic Quantum Advantage in Trapped-Ion Quantum Computation [0.0]
In this work, one implementation of the quantum Fourier transform (QFT) algorithm in a trapped ion setup was studied.
The main focus was to obtain a theoretical characterization of the energetic costs of quantum computation.
A potential scaling of the energetic costs was argued and used to find a possible threshold for an energetic quantum advantage against state-of-the-art classical supercomputers.
arXiv Detail & Related papers (2024-04-17T17:14:53Z) - Quantum error mitigation for Fourier moment computation [49.1574468325115]
This paper focuses on the computation of Fourier moments within the context of a nuclear effective field theory on superconducting quantum hardware.
The study integrates echo verification and noise renormalization into Hadamard tests using control reversal gates.
The analysis, conducted using noise models, reveals a significant reduction in noise strength by two orders of magnitude.
arXiv Detail & Related papers (2024-01-23T19:10:24Z) - Quantum Thermal State Preparation [39.91303506884272]
We introduce simple continuous-time quantum Gibbs samplers for simulating quantum master equations.
We construct the first provably accurate and efficient algorithm for preparing certain purified Gibbs states.
Our algorithms' costs have a provable dependence on temperature, accuracy, and the mixing time.
arXiv Detail & Related papers (2023-03-31T17:29:56Z) - Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the
Race to Practical Quantum Advantage [43.3054117987806]
We introduce a scalable procedure for harnessing classical computing resources to provide pre-optimized initializations for quantum circuits.
We show this method significantly improves the trainability and performance of PQCs on a variety of problems.
By demonstrating a means of boosting limited quantum resources using classical computers, our approach illustrates the promise of this synergy between quantum and quantum-inspired models in quantum computing.
arXiv Detail & Related papers (2022-08-29T15:24:03Z) - Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg
Atoms [55.41644538483948]
We provide the first complete characterization of sources of error in a neutral-atom quantum computer.
We develop a novel and distinctly efficient method to address the most important errors associated with the decay of atomic qubits to states outside of the computational subspace.
Our protocols can be implemented in the near-term using state-of-the-art neutral atom platforms with qubits encoded in both alkali and alkaline-earth atoms.
arXiv Detail & Related papers (2021-05-27T23:29:53Z)
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.