Bosonic quantum computing with near-term devices and beyond
- URL: http://arxiv.org/abs/2512.15063v1
- Date: Wed, 17 Dec 2025 04:01:54 GMT
- Title: Bosonic quantum computing with near-term devices and beyond
- Authors: Timo Hillmann,
- Abstract summary: This thesis investigates scalable fault-tolerant quantum computation.<n>We develop bosonic quantum codes, quantum LDPC codes, and decoding protocols that connect continuous-variable and discrete-variable error correction.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: (Abridged.) This thesis investigates scalable fault-tolerant quantum computation through the development of bosonic quantum codes, quantum LDPC codes, and decoding protocols that connect continuous-variable and discrete-variable error correction. We investigate superconducting microwave implementations of continuous-variable quantum computing, including the deterministic generation of cubic phase states, and introduce the dissipatively stabilized squeezed cat qubit, a noise-biased bosonic encoding with enhanced error suppression and faster gates. The performance of rotation-symmetric and GKP codes is analyzed under realistic noise and measurement models, revealing key trade-offs in measurement-based schemes. To integrate bosonic codes into larger architectures, we develop decoding methods that exploit analog syndrome information, enabling quasi-single-shot decoding in concatenated systems. On the discrete-variable side, we introduce localized statistics decoding, a highly parallelizable decoder for quantum LDPC codes, and propose quantum radial codes, a new family of single-shot LDPC codes with low overhead and strong circuit-level performance. Finally, we present fault complexes, a homological framework for analyzing faults in dynamic quantum error correction protocols. Extending the role of homology in static CSS codes, fault complexes provide a general language for the design and analysis of fault-tolerant schemes.
Related papers
- Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
arXiv Detail & Related papers (2026-01-10T02:36:03Z) - Decoding Multimode Gottesman-Kitaev-Preskill Codes with Noisy Auxiliary States [0.0]
We show that leveraging the correlations between measurement results and the actual error affecting the multimode GKP state can decrease the logical error probability by at least an order of magnitude.
arXiv Detail & Related papers (2025-10-14T16:14:33Z) - Learning to decode logical circuits [26.510386591426112]
We introduce a data-centric modular decoder framework, Multi-Core Circuit Decoder (MCCD)<n> MCCD handles both single-qubit and entangling gates within a unified framework.<n>Our approach represents a noise-model solution to the decoding challenge for deep logical quantum circuits.
arXiv Detail & Related papers (2025-04-23T18:00:04Z) - Low-density parity-check representation of fault-tolerant quantum circuits [5.064729356056529]
In fault-tolerant quantum computing, quantum algorithms are implemented through quantum circuits capable of error correction.
This paper presents a toolkit for designing and analysing fault-tolerant quantum circuits.
arXiv Detail & Related papers (2024-03-15T12:56:38Z) - Fault-tolerant quantum architectures based on erasure qubits [49.227671756557946]
We exploit the idea of erasure qubits, relying on an efficient conversion of the dominant noise into erasures at known locations.
We propose and optimize QEC schemes based on erasure qubits and the recently-introduced Floquet codes.
Our results demonstrate that, despite being slightly more complex, QEC schemes based on erasure qubits can significantly outperform standard approaches.
arXiv Detail & Related papers (2023-12-21T17:40:18Z) - Analog information decoding of bosonic quantum LDPC codes [3.34006871348377]
We propose novel decoding methods that explicitly exploit the syndrome information obtained from a bosonic qubit readout.
Our results lay the foundation for general decoding algorithms using analog information and demonstrate promising results in the direction of fault-tolerant quantum computation.
arXiv Detail & Related papers (2023-11-02T15:41:03Z) - Single-shot decoding of good quantum LDPC codes [38.12919328528587]
We prove that quantum Tanner codes facilitate single-shot quantum error correction (QEC) of adversarial noise.
We show that in order to suppress errors over multiple repeated rounds of QEC, it suffices to run the parallel decoding algorithm for constant time in each round.
arXiv Detail & Related papers (2023-06-21T18:00:01Z) - Mitigating crosstalk errors by randomized compiling: Simulation of the
BCS model on a superconducting quantum computer [41.94295877935867]
Crosstalk errors, stemming from CNOT two-qubit gates, are a crucial source of errors on numerous quantum computing platforms.
We develop and apply an extension of the randomized compiling protocol that includes a special treatment of neighboring qubits.
Our twirling of neighboring qubits is shown to dramatically improve the noise estimation protocol without the need to add new qubits or circuits.
arXiv Detail & Related papers (2023-05-03T18:00:02Z) - Modular decoding: parallelizable real-time decoding for quantum
computers [55.41644538483948]
Real-time quantum computation will require decoding algorithms capable of extracting logical outcomes from a stream of data generated by noisy quantum hardware.
We propose modular decoding, an approach capable of addressing this challenge with minimal additional communication and without sacrificing decoding accuracy.
We introduce the edge-vertex decomposition, a concrete instance of modular decoding for lattice-surgery style fault-tolerant blocks.
arXiv Detail & Related papers (2023-03-08T19:26:10Z) - Deep Quantum Error Correction [73.54643419792453]
Quantum error correction codes (QECC) are a key component for realizing the potential of quantum computing.
In this work, we efficiently train novel emphend-to-end deep quantum error decoders.
The proposed method demonstrates the power of neural decoders for QECC by achieving state-of-the-art accuracy.
arXiv Detail & Related papers (2023-01-27T08:16:26Z) - Neural Belief Propagation Decoding of Quantum LDPC Codes Using
Overcomplete Check Matrices [60.02503434201552]
We propose to decode QLDPC codes based on a check matrix with redundant rows, generated from linear combinations of the rows in the original check matrix.
This approach yields a significant improvement in decoding performance with the additional advantage of very low decoding latency.
arXiv Detail & Related papers (2022-12-20T13:41:27Z) - Fault-tolerant Coding for Entanglement-Assisted Communication [46.0607942851373]
This paper studies the study of fault-tolerant channel coding for quantum channels.
We use techniques from fault-tolerant quantum computing to establish coding theorems for sending classical and quantum information in this scenario.
We extend these methods to the case of entanglement-assisted communication, in particular proving that the fault-tolerant capacity approaches the usual capacity when the gate error approaches zero.
arXiv Detail & Related papers (2022-10-06T14:09:16Z) - 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)
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.