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International Journal of Academic and Industrial Research Innovations(IJAIRI)

Photonic-Interconnected Quantum Chiplets for Modular and Networked Quantum Computing

Murali Krishna Pasupuleti

Published May 24, 2026• 0 citations
Publisher

Abstract

Abstract: This study investigates photonic-interconnected quantum chiplets as a modular hardware pathway for scalable and networked quantum computing. The central problem is that monolithic quantum processors face compounding constraints in yield, wiring density, cryogenic routing, interconnect loss, calibration complexity and non-local connectivity. Photonic interconnection offers a technically plausible route to divide a large quantum computer into smaller processors while preserving quantum communication across modules through fibre links, photonic switches, optical transduction or integrated photonic interposers. The paper develops an academically rigorous framework that connects quantum-chiplet architecture, photonic integration, quantum error correction, control latency and manufacturability. It uses secondary real-data anchors from recent public demonstrations and a transparent engineering analysis to evaluate whether modular photonic networking can satisfy requirements for distributed logical qubits, entanglement generation and fault-tolerant operation. Results indicate that photonic chiplets can reduce scaling penalties relative to a monolithic wiring strategy when interconnect loss, feed-forward latency and module yield are jointly optimized. The study concludes that photonic-interconnected chiplets are not a minor packaging improvement but a possible architectural transition comparable to the movement from single-die classical processors to heterogeneous chiplet systems. The strongest contribution is a system-level evaluation model that links physical photonic performance with computer-architecture metrics and identifies the practical thresholds that must be met for Nature-level experimental validation. Keywords quantum computing chips, photonic chiplets, modular quantum computing, quantum interconnects, distributed quantum processors, silicon photonics, quantum networking, fault-tolerant quantum computing, optical interposers, quantum error correction, entanglement routing, wafer-scale quantum manufacturing, cryogenic control, quantum architecture, quantum hardware scalability

DOI
10.62311/nesx/rp9-30052026

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Abstract: This study investigates photonic-interconnected quantum chiplets as a modular hardware pathway for scalable and networked quantum computing. The central problem is that monolithic quantum processors face compounding constraints in yield, wiring density, cryogenic routing, interconnect loss, calibration complexity and non-local connectivity. Photonic interconnection offers a technically plausible route to divide a large quantum computer into smaller processors while preserving quantum communication across modules through fibre links, photonic switches, optical transduction or integrated photonic interposers. The paper develops an academically rigorous framework that connects quantum-chiplet architecture, photonic integration, quantum error correction, control latency and manufacturability. It uses secondary real-data anchors from recent public demonstrations and a transparent engineering analysis to evaluate whether modular photonic networking can satisfy requirements for distributed logical qubits, entanglement generation and fault-tolerant operation. Results indicate that photonic chiplets can reduce scaling penalties relative to a monolithic wiring strategy when interconnect loss, feed-forward latency and module yield are jointly optimized. The study concludes that photonic-interconnected chiplets are not a minor packaging improvement but a possible architectural transition comparable to the movement from single-die classical processors to heterogeneous chiplet systems. The strongest contribution is a system-level evaluation model that links physical photonic performance with computer-architecture metrics and identifies the practical thresholds that must be met for Nature-level experimental validation. Keywords quantum computing chips, photonic chiplets, modular quantum computing, quantum interconnects, distributed quantum processors, silicon photonics, quantum networking, fault-tolerant quantum computing, optical interposers, quantum error correction, entanglement routing, wafer-scale quantum manufacturing, cryogenic control, quantum architecture, quantum hardware scalability
Photonics offers a promising platform for quantum computing1–4, owing to the availability of chip integration for mass-manufacturable modules, fibre optics for networking and room-temperature operation of most components. However, experimental demonstrations are needed of complete integrated systems comprising all basic functionalities for universal and fault-tolerant operation5. Here we construct a (sub-performant) scale model of a quantum computer using 35 photonic chips to demonstrate its functionality and feasibility. This combines all the primitive components as discrete, scalable rack-deployed modules networked over fibre-optic interconnects, including 84 squeezers6 and 36 photon-number-resolving detectors furnishing 12 physical qubit modes at each clock cycle. We use this machine, which we name Aurora, to synthesize a cluster state7 entangled across separate chips with 86.4 billion modes, and demonstrate its capability of implementing the foliated distance-2 repetition code with real-time decoding. The key building blocks needed for universality and fault tolerance are demonstrated: heralded synthesis of single-temporal-mode non-Gaussian resource states, real-time multiplexing actuated on photon-number-resolving detection, spatiotemporal cluster-state formation with fibre buffers, and adaptive measurements implemented using chip-integrated homodyne detectors with real-time single-clock-cycle feedforward. We also present a detailed analysis of our architecture’s tolerances for optical loss, which is the dominant and most challenging hurdle to crossing the fault-tolerant threshold. This work lays out the path to cross the fault-tolerant threshold and scale photonic quantum computers to the point of addressing useful applications. A proof-of-principle study reports a complete photonic quantum computer architecture that can, once appropriate component performance is achieved, deliver a universal and fault-tolerant quantum computer.
This work presents a conceptual architecture and technological roadmap for a scalable superconducting quantum computing platform based on modular design principles. Rather than introducing a new qubit technology, the proposal focuses on addressing critical engineering bottlenecks that currently limit the large-scale deployment of quantum processors, including wiring complexity, electromagnetic crosstalk, fabrication yield, and latency in error-correction feedback loops.The proposed framework introduces a modular hybrid architecture (“Quantum Mesh”), where medium-scale quantum chiplets containing 25–50 superconducting transmon qubits are interconnected through advanced 3D packaging and cryogenic infrastructure. This approach aims to improve manufacturing yield, reduce wiring density, and enable rack-level integration of quantum processing units while maintaining high gate fidelities and manageable thermal loads.A second central element of the proposal is the integration of a high-fidelity digital twin environment capable of simulating qubit dynamics, noise sources, control latency, and thermal constraints at nanosecond resolution. This predictive framework is intended to support hardware iteration cycles prior to fabrication, potentially accelerating design optimization and system validation.The document outlines a three-year development pathway targeting 100–200 physical qubits and several logical qubits using surface code error correction, followed by a longer-term scaling strategy toward quantum fabrics exceeding one thousand qubits. By combining modular quantum chiplets, partial cryogenic electronics, and predictive digital twin modeling, the proposed architecture explores a plausible industrial pathway toward large-scale quantum computing systems.
Abstract: This study investigates a topological quantum error-correction framework for scalable photonic quantum-computing architectures in which fusion-based entangling primitives are combined with tensor-network optimization. The central problem addressed is the gap between high-fidelity photonic components and the stringent logical-error rates required for fault-tolerant quantum computation. Photonic platforms offer room-temperature operation, manufacturable silicon-photonic process flows, high-bandwidth optical interconnects and natural compatibility with measurement-based computation; however, photon loss, probabilistic fusion and decoder latency impose architectural constraints that cannot be resolved by hardware fidelity alone. The proposed framework therefore treats hardware metrics, code geometry and decoding as a coupled optimization problem rather than as separate engineering layers. The manuscript develops a mathematically grounded model of surface-code and cluster-state error correction under photonic loss and fusion noise, then evaluates tensor-network contraction as a decoder and resource-allocation method. The data section explicitly uses published real-data-based benchmark inputs from contemporary photonic and quantum-error-correction literature, supplemented by transparent, domain-plausible projections where complete open photonic logical-QEC datasets are not yet available. Results show that tensor-network optimization improves the logical-error index relative to matching-based baselines in the modelled photonic regime, while the feasibility boundary remains dominated by loss, fusion infidelity and real-time decoding latency. The contribution is a reproducible evaluation framework that links topological protection, photonic architecture constraints and decoder design for future scalable fault-tolerant systems. Keywords: topological quantum error correction; surface code; photonic quantum computing; fusion-based quantum computation; tensor-network decoding; loss tolerance; scalable quantum architecture; measurement-based quantum computing; fault tolerance; silicon photonics.
A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributed quantum computing across small qubit arrays, known as chiplets, can address these challenges in a scalable manner. We propose a chiplet architecture over microwave links with potential to exceed monolithic performance on near-term hardware. Our methods of modeling and evaluating the chiplet architecture bridge the physical and network layers in these processors. We find evidence that distributing computation across chiplets may reduce the overall error rates associated with moving data across the device, despite higher error figures for transfers across links. Preliminary analyses suggest that latency is not substantially impacted, and that at least some applications and architectures may avoid bottlenecks around chiplet boundaries. In the long-term, short-range networks may underlie quantum computers just as local area networks underlie classical datacenters and supercomputers today.
Quantum computing has progressed from early demonstrations across superconducting, trapped ion, photonic, and spin-based platforms to increasingly integrated systems. However, transitioning from the noisy intermediate-scale quantum (NISQ) era to robust, fault tolerant implementations remain a central challenge. This paper presents a systematic review and synthesis of practical quantum computing, encompassing experimental advances, integrated photonics, error correction breakthroughs, software stack evolution, benchmarking practices, algorithmic readiness, and socio-technical dimensions. We critically assess current limitations and highlight emerging directions, including integrated photonic modules with high fidelity interconnects, real time decoders for surface code logical qubits, and hardware aware compiler strategies. Our analysis is grounded in peer-reviewed experimental data and model-based evaluations. Key findings include demonstrated logical error suppression via increased code distance, scalable photonic module prototypes, and refined resource estimates for cryptanalytic and simulation tasks. This paper concludes with a structured research agenda for 2025–2030, proposing four priority thrusts such as hardware QEC co design, reproducible cross platform benchmarking, modular/distributed architectures, and quantum networking with governance frameworks. This evidence based roadmap aims to align researchers and practitioners toward actionable milestones on the path to practical quantum computing.
Abstract Connecting multiple smaller qubit modules by generating high-fidelity entanglement is a promising path for scaling quantum computing hardware. The performance of such a modular quantum computer depends on the quality and rate of entanglement generation. However, identifying optimal architectures and entanglement generation protocols remains an open question. How can modular quantum architectures be designed to achieve fault tolerance while requiring only feasible entanglement rates and hardware? Focusing on solid-state quantum hardware, we investigate the threshold and logical failure rate of a fully distributed surface code. We consider both emission-based and scattering-based entanglement schemes between the modules to link the performance to the physical hardware and identify the regime for fault tolerance. We compare architectures with one or two data qubits per module. For some entanglement schemes, thresholds nearing the thresholds of non-distributed implementations (~ 0.4%) appear feasible with future parameters minimizing the performance gap between modular and monolithic quantum processors.