Quantum Random Access Memory Implementation Using Photon-Photon Interaction in Rydberg Atomic Ensemble

• URL: http://arxiv.org/abs/2609.11333v1
• Date: Thu, 10 Sep 2026 10:08:55 GMT
• Title: Quantum Random Access Memory Implementation Using Photon-Photon Interaction in Rydberg Atomic Ensemble
• Abstract summary: Quantum random access memory (qRAM) is crucial for overcoming data-loading bottlenecks in quantum machine learning.<n>Traditional fanout designs demand exponential decoherence-prone gates, while bucket-brigade schemes require highly error-prone active switches.<n>We propose a scalable qRAM architecture that fundamentally replaces active nodes with phase-encoded quantum walkers.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum random access memory (qRAM) is crucial for overcoming data-loading bottlenecks in quantum machine learning; however, current physical implementations face severe scalability constraints. Traditional fanout designs demand exponential decoherence-prone gates, while bucket-brigade schemes require highly error-prone active switches. Motivated by these limitations, we propose a scalable qRAM architecture that fundamentally replaces active nodes with phase-encoded quantum walkers. Our methodology maps a discrete-time quantum walk onto a cavity quantum electrodynamics framework utilizing an electromagnetically induced transparency (EIT)-based Rydberg atomic ensemble. Inside hollow-core waveguides, strong Rydberg dipole-dipole interactions and a solenoidal magnetic field create a robust routing operator. This operator imparts precise, polarization-dependent phase shifts, steering circularly polarized probe pulses to target memory cells. Our results demonstrate that operating within a strong control field regime suppresses emergent spatial attenuation, ensuring cumulative transmission probabilities for highly scaled memory addresses. Ultimately, this parallelized architecture successfully optimizes spatial resources to static gates and temporal complexity to an optimal logarithmic scale of $\mathcal{O}(n\log(n+m))$ by requiring $\mathcal{O}(n+m)$ physical walkers, establishing a practical, fault-tolerant hardware pathway for advanced quantum computation implementations.

Related papers

• Quantum-RAM Implementation Using Multiple Interacting Rydberg-Blockaded EIT Systems [0.0]
  We propose a novel theoretical architecture for implementing a quantum random access memory (qRAM) based on quantum random walks in a Rydberg blockaded atomic ensemble.<n>We harness the strong, coherent dipole interactions between Rydberg atoms to achieve high-fidelity control of photonic qubits without the need for cryogenic temperatures.
  arXiv  Detail & Related papers  (2026-09-10T10:24:59Z)
• Flux-Activated Resonant Control of a Bosonic Quantum Memory [63.35373457838474]
  Bosonic circuit quantum electrodynamics (cQED) coherently control long-lived superconducting cavities.<n>We integrate an on-chip flux-control architecture with a long-lived bosonic memory housed in a 3D superconducting cavity.<n>We realize efficient arbitrary rotations between any pair of Fock levels in the memory.
  arXiv  Detail & Related papers  (2026-02-20T10:22:53Z)
• Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis [0.0]
  A reinforcement learning framework is introduced for the efficient synthesis of quantum circuits.<n>The framework combines a static, domain-informed reward that guides the agent toward the target state with customizable dynamic penalties.<n> Benchmarking on graph-state preparation tasks for up to seven qubits, we demonstrate that the algorithm consistently discovers minimal-depth circuits.
  arXiv  Detail & Related papers  (2025-07-22T14:39:20Z)
• Speeding up adiabatic holonomic quantum gates via $π$-pulse modulation [1.7675483336334565]
  We propose a scheme for fast holonomic quantum gates based on the $pi$-pulse method.<n>We realize a universal set of holonomic gates beyond the conventional adiabatic limit.
  arXiv  Detail & Related papers  (2025-06-11T01:59:14Z)
• Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures [1.8781124875646162]
  This research contributes to the advancement of scalable quantum computing systems by introducing a novel learning-based approach for efficient quantum circuit compilation and mapping. In this work, we propose a novel approach employing Deep Reinforcement Learning (DRL) methods to learn theses for a specific multi-core architecture.
  arXiv  Detail & Related papers  (2024-06-17T12:09:11Z)
• 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)
• High-fidelity parallel entangling gates on a neutral atom quantum computer [41.74498230885008]
  We report the realization of two-qubit entangling gates with 99.5% fidelity on up to 60 atoms in parallel. These advances lay the groundwork for large-scale implementation of quantum algorithms, error-corrected circuits, and digital simulations.
  arXiv  Detail & Related papers  (2023-04-11T18:00:04Z)
• Simulating the Mott transition on a noisy digital quantum computer via Cartan-based fast-forwarding circuits [62.73367618671969]
  Dynamical mean-field theory (DMFT) maps the local Green's function of the Hubbard model to that of the Anderson impurity model. Quantum and hybrid quantum-classical algorithms have been proposed to efficiently solve impurity models. This work presents the first computation of the Mott phase transition using noisy digital quantum hardware.
  arXiv  Detail & Related papers  (2021-12-10T17:32:15Z)
• A quantum processor based on coherent transport of entangled atom arrays [44.62475518267084]
  We show a quantum processor with dynamic, nonlocal connectivity, in which entangled qubits are coherently transported in a highly parallel manner. We use this architecture to realize programmable generation of entangled graph states such as cluster states and a 7-qubit Steane code state.
  arXiv  Detail & Related papers  (2021-12-07T19:00:00Z)
• 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)
• Boosting photonic quantum computation with moderate nonlinearity [0.0]
  Photonic measurement-based quantum computation (MBQC) is a promising route towards fault-tolerant universal quantum computing. A central challenge in this effort is the huge overhead in the resources required for the construction of large photonic clusters. Here we explore the prospects of using moderate nonlinearity to boost photonic quantum computing and significantly reduce its resources overhead.
  arXiv  Detail & Related papers  (2020-11-12T15:53:34Z)

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.