New designs of linear optical interferometers with minimal depth and component count
- URL: http://arxiv.org/abs/2504.06059v1
- Date: Tue, 08 Apr 2025 14:03:04 GMT
- Title: New designs of linear optical interferometers with minimal depth and component count
- Authors: Timothée Goubault de Brugière, Rawad Mezher, Sebastian Currie, Shane Mansfield,
- Abstract summary: We adapt an algorithm for CNOT circuits based on the Bruhat decomposition to the design of linear optical circuits with Mach-Zehnder interferometers (MZI)<n>The synthesis algorithm reduces to designing sorting networks with nearest neighbor swapping operations as elementary gates.<n>We show natural extensions of our framework for boson sampling experiments and for the coupling of multiple integrated interferometers to design larger linear optical systems.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: We adapt an algorithm for CNOT circuits synthesis based on the Bruhat decomposition to the design of linear optical circuits with Mach-Zehnder interferometers (MZI). The synthesis algorithm reduces to designing sorting networks with nearest neighbor swapping operations as elementary gates. We recover previous designs from the literature but with additional theoretical properties regarding the compiler that implements unitaries on the interferometer. Notably the compiler can always decide whether a unitary can be implemented on a given interferometer and, if so, returns the shallowest possible implementation. We also show natural extensions of our framework for boson sampling experiments and for the coupling of multiple integrated interferometers to design larger linear optical systems. In both cases, the designs are optimal in terms of number of optical components. Finally, we propose a greedy design which exploits the arbritrary-but-fixed coupling of separate integrated interferometers to perform shallow boson sampling. We discuss the optimal interferometer dimensions to maximize the transmission. Beyond boson sampling, our developed framework allows a resource-favourable implemention of any non-adaptive linear optical quantum algorithm, by providing the shallowest possible interferometer for implementing this algorithm.
Related papers
- Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based? [89.05848771674773]
A novel antenna system ()-enabled downlink multi-user multiple-input single-output (MISO) framework is proposed.<n>It consists of multiple waveguides, which equip numerous low-cost antennas, named (PAs)<n>The positions of PAs can be reconfigured to both spanning large-scale path and space.
arXiv Detail & Related papers (2025-02-12T18:54:10Z) - Fast reconstruction of programmable interferometers with intensity-only
measurements [0.0]
Linear optical interferometers are promising for classical and quantum applications.
To use them in practice, one has to reconstruct the whole device model taking the manufacturing errors into account.
We show that it performs slightly worse than the original fast algorithm but it is more practical and still does not require intensive numerical optimization.
arXiv Detail & Related papers (2024-01-11T18:16:38Z) - Fast reconstruction of programmable integrated interferometers [0.0]
We present a novel efficient algorithm based on linear algebra only, which does not use computationally expensive optimization procedures.
We show that this approach makes it possible to perform fast and accurate characterization of high-dimensional programmable integrated interferometers.
arXiv Detail & Related papers (2023-07-07T14:48:38Z) - One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from
Electromagnetic Solvers [57.441926088870325]
Deep Image Prior (DIP) is a technique that optimized the weights of a randomly-d convolutional neural network to fit a signal from noisy or under-determined measurements.
Relative to publicly available implementations of Vector Fitting (VF), our method shows superior performance on nearly all test examples.
arXiv Detail & Related papers (2023-06-06T20:28:37Z) - Reinforcement Learning for Rotation Sensing with Ultracold Atoms in an Optical Lattice [0.0]
In this paper, we investigate a design approach to engineer a gyroscope in an optical lattice for the inertial sensing of rotations.
For the same total interrogation time, the end-to-end design leads to a 20-fold improvement in sensitivity over traditional Bragg interferometry.
arXiv Detail & Related papers (2022-12-29T22:22:19Z) - Retrieving space-dependent polarization transformations via near-optimal
quantum process tomography [55.41644538483948]
We investigate the application of genetic and machine learning approaches to tomographic problems.
We find that the neural network-based scheme provides a significant speed-up, that may be critical in applications requiring a characterization in real-time.
We expect these results to lay the groundwork for the optimization of tomographic approaches in more general quantum processes.
arXiv Detail & Related papers (2022-10-27T11:37:14Z) - Fulfilling entanglement's optimal advantage via converting correlation
to coherence [0.966840768820136]
Entanglement boosts performance limits in sensing and communication.
We propose a conversion module to capture and transform the quantum correlation to coherent quadrature displacement.
Our module provides a paradigm of processing noisy quantum correlations for near-term implementation.
arXiv Detail & Related papers (2022-07-14T02:02:52Z) - Two-colour spectrally multimode integrated SU(1,1) interferometer [77.34726150561087]
We develop and investigate an integrated multimode two-colour SU (1,1) interferometer that operates in a supersensitive mode.
By ensuring a proper design of the integrated platform, we suppress dispersion and thereby significantly increase the visibility of the interference pattern.
We demonstrate that such an interferometer overcomes the classical phase sensitivity limit for wide parametric gain ranges, when up to $3*104$ photons are generated.
arXiv Detail & Related papers (2022-02-10T13:30:42Z) - Performance of teleportation-based error correction circuits for bosonic
codes with noisy measurements [58.720142291102135]
We analyze the error-correction capabilities of rotation-symmetric codes using a teleportation-based error-correction circuit.
We find that with the currently achievable measurement efficiencies in microwave optics, bosonic rotation codes undergo a substantial decrease in their break-even potential.
arXiv Detail & Related papers (2021-08-02T16:12:13Z) - Architecture agnostic algorithm for reconfigurable optical
interferometer programming [0.0]
We develop the learning algorithm to build the architecture model of the reconfigurable optical interferometer.
Our algorithm adopts the supervised learning strategy which matches the model of the interferometer to the training set populated by the samples produced by the device under study.
arXiv Detail & Related papers (2021-03-23T21:11:50Z) - Rapid characterisation of linear-optical networks via PhaseLift [51.03305009278831]
Integrated photonics offers great phase-stability and can rely on the large scale manufacturability provided by the semiconductor industry.
New devices, based on such optical circuits, hold the promise of faster and energy-efficient computations in machine learning applications.
We present a novel technique to reconstruct the transfer matrix of linear optical networks.
arXiv Detail & Related papers (2020-10-01T16:04:22Z)
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.