Sparse Phase Ansatzes for Resource-Efficient Qudit State Preparation via the SNAP-Displacement Protocol
- URL: http://arxiv.org/abs/2603.12203v1
- Date: Thu, 12 Mar 2026 17:28:34 GMT
- Title: Sparse Phase Ansatzes for Resource-Efficient Qudit State Preparation via the SNAP-Displacement Protocol
- Abstract summary: We study resource-efficient quantum state preparation in bosonic qudit systems using the SNAP-displacement protocol.<n>Existing approaches typically require a large number of gates and SNAP phases, resulting in complex control pulses.<n>We propose to optimize only a subset of the SNAP phases and introduce three progressively more general sparse ansatzes.
- Score: 3.3890946322333644
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Efficient preparation of nonclassical bosonic states is a central requirement for quantum computing, simulation, and precision metrology. We study resource-efficient quantum state preparation in bosonic qudit systems using the SNAP-displacement (SD) protocol. Existing SD-based approaches typically require a large number of gates and SNAP phases, resulting in complex control pulses, increasing the ansatz duration, and amplifying the impact of photon-loss and control errors. In this work, we focus on the near- to medium-term regime, in which noisy quantum devices impose trade-offs on the fidelity that can be achieved, which must be taken into account. Specifically, we propose to optimize only a subset of the SNAP phases and introduce three progressively more general sparse ansatzes. To provide fine-grained control and identify the most suitable ansatz for a given target fidelity, we further employ a scalarized multi-objective optimization that trades off fidelity against either the number of phases or the duration of the ansatz. Numerical results for several target states and qudit dimensions up to $d=64$ show that these sparse ansatzes achieve favorable trade-offs compared to the fully parameterized SD protocol in both ideal and noisy settings, consistently reducing the number of required phases and suggesting a practical route to more efficient near- and medium-term bosonic state preparation.
Related papers
- From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex Regime [52.459513910242485]
We develop a general statistical framework for studying optimal noise-level allocation in diffusion training.<n>We show that the optimized training schedule admits an atomic minimizer, concentrated on finitely many noise levels.<n>We then evaluate the entropic schedule in larger-scale experiments, where full schedule optimization is currently intractable.
arXiv Detail & Related papers (2026-07-10T20:59:06Z) - Pulse-level control for quantum resource preparation [0.0]
Minimizing the time required for quantum state preparation is crucial to decoherence and enable practical quantum algorithms on near-term hardware.<n>We introduce a technique for quantum state preparation in transmon-qubit systems using optimized electromagnetic pulse sequences.
arXiv Detail & Related papers (2026-02-23T19:02:31Z) - Deterministic Ground State Preparation via Power-Cosine Filtering of Time Evolution Operators [0.0]
We propose a non-variational protocol for ground state preparation using a Power-Cosine quantum signal processing filter.<n>By eschewing complex block-encoding techniques, our method directly utilizes coherent time-evolution operators controlled by a single ancillary qubit.
arXiv Detail & Related papers (2026-02-23T07:01:30Z) - Sample- and Hardware-Efficient Fidelity Estimation by Stripping Phase-Dominated Magic [0.2796197251957245]
This work proposes a sample- and gate-efficient fidelity estimation algorithm that is affordable within feasible quantum devices.<n>We show that the fidelity estimation with pure states close to the structure of phase states, for which sample-efficient DFE is limited by their strong entanglement and magic, can be done by using $mathcalO(mathrmpoly(n))$ sampling copies, with a single $n$-qubit fan-out gate.
arXiv Detail & Related papers (2026-02-10T12:13:25Z) - MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation [74.34220141721231]
We present MPQ-DMv2, an improved textbfMixed textbfPrecision textbfQuantization framework for extremely low-bit textbfDiffusion textbfModels.
arXiv Detail & Related papers (2025-07-06T08:16:50Z) - Heisenberg-limited Bayesian phase estimation with low-depth digital quantum circuits [0.0]
We develop and analyze a scheme that achieves near-optimal precision up to a constant overhead for Bayesian phase estimation.
We show that the proposed scheme outperforms known schemes in the literature that utilize a similar set of initial states.
We also propose an efficient phase unwinding protocol to extend the dynamic range of the proposed scheme.
arXiv Detail & Related papers (2024-07-08T14:59:16Z) - QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning [52.157939524815866]
In this paper, we identify imbalanced activation distributions as a primary source of quantization difficulty.<n>We propose to adjust these distributions through weight finetuning to be more quantization-friendly.<n>Our method demonstrates its efficacy across three high-resolution image generation tasks.
arXiv Detail & Related papers (2024-02-06T03:39:44Z) - Exponentially faster preparation of quantum dimers via driven-dissipative stabilization [0.0]
We propose a novel scheme to generate many-body entanglement between multiple qubits stabilized by dissipation into a 1D bath.
Our scheme achieves a provably exponential speedup over state-of-the-art dissipative stabilization schemes in 1D baths.
arXiv Detail & Related papers (2023-09-22T08:34:36Z) - Near-Term Distributed Quantum Computation using Mean-Field Corrections
and Auxiliary Qubits [77.04894470683776]
We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production.
We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
arXiv Detail & Related papers (2023-09-11T18:00:00Z) - Quantum Gate Optimization for Rydberg Architectures in the Weak-Coupling
Limit [55.05109484230879]
We demonstrate machine learning assisted design of a two-qubit gate in a Rydberg tweezer system.
We generate optimal pulse sequences that implement a CNOT gate with high fidelity.
We show that local control of single qubit operations is sufficient for performing quantum computation on a large array of atoms.
arXiv Detail & Related papers (2023-06-14T18:24:51Z) - 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) - Fully Quantized Image Super-Resolution Networks [81.75002888152159]
We propose a Fully Quantized image Super-Resolution framework (FQSR) to jointly optimize efficiency and accuracy.
We apply our quantization scheme on multiple mainstream super-resolution architectures, including SRResNet, SRGAN and EDSR.
Our FQSR using low bits quantization can achieve on par performance compared with the full-precision counterparts on five benchmark datasets.
arXiv Detail & Related papers (2020-11-29T03:53:49Z)
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.