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arXiv:2610.41524

High-efficiency photonic GHZ measurements with linear optics

Stefan N. van den Hoven, Love A. Pettersson, Anders S. Sørensen, Stefano Paesani

quant-phphysics.opticsSubmitted Oct 30, 2026• Announced Nov 2, 2026
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Abstract

Probabilistic and destructive Bell-measurements, also known as fusions, constitute a fundamental primitive for photonic quantum technologies. These operations rely only on pairwise photonic interference, whereas the computational power of photonic quantum systems originates from many-body interference. Here, we introduce a family of high-efficiency linear-optical GHZ measurements based on four-mode interferometers and show that incorporating many-body interference into this ubiquitous primitive leads to more efficient entangling operations. For the four-photon case, the success probability is $9/32$, and adaptive variants ensure that unsuccessful events project onto useful stabilizer states. We further show that the approach naturally generalizes to larger GHZ measurements, yielding an exponentially higher success probability than previous linear-optical schemes. Finally, we demonstrate practical advantages for graph-state resource generation, entanglement distribution between remote spin-photon interfaces, and fusion-based quantum computing. Our results establish high-efficiency many-body measurements as a new primitive for scalable photonic quantum information processing.

AI Summary

The paper asks whether multiphoton interference can improve destructive linear-optical GHZ measurements beyond schemes assembled from two-photon fusions. It constructs dual-rail measurement networks using four-mode Hadamard interferometers, with detection patterns identifying the global $X$ parity and pairwise $Z$ parities. For four photons, the nonadaptive scheme succeeds with probability $9/32$, versus $1/8$ for the compared schemes, assuming maximally mixed input qubits. Failure outcomes project onto $W$, Dicke, or computational-basis states. Feed-forward variants make every outcome a stabilizer projection, but reduce GHZ success to $3/16$; one variant also yields one or two Bell pairs on some failures. For even $n$, interconnected four-mode blocks give an analytical lower bound scaling as $(\phi/\sqrt{8})^n\approx0.572^n$, compared with prior scaling $0.5^n$. The bound follows from counting compatible input strings and detection configurations that determine the stabilizers, using Lucas-number combinatorics and graph connectivity. Numerical calculations through $n=30$ suggest approximately $0.6192^n$ scaling. Applications include reducing expected three-photon-GHZ resource costs from $1520$ to about $1140$ for an encoded six-ring and from $256$ to about $100$ for an encoded four-star. A simulated repeat-until-success computing architecture has a distinguishability threshold of $7.36\%$, versus $4\%$ for the cited two-body architecture. Success still decreases exponentially with size; the numerical scaling is not proved, connectivity optimization is not exhaustive, and odd sizes require an additional type-I fusion. No experimental demonstration is reported. A note identifies an equivalent four-photon primitive in a patent application; the stated extensions are adaptivity, larger measurements, and applications.

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Probabilistic and destructive Bell-measurements, also known as fusions, constitute a fundamental primitive for photonic quantum technologies. These operations rely only on pairwise photonic interference, whereas the computational power of photonic quantum systems originates from many-body interference. Here, we introduce a family of high-efficiency linear-optical GHZ measurements based on four-mode interferometers and show that incorporating many-body interference into this ubiquitous primitive leads to more efficient entangling operations. For the four-photon case, the success probability is 9/329/329/32, and adaptive variants ensure that unsuccessful events project onto useful stabilizer states. We further show that the approach naturally generalizes to larger GHZ measurements, yielding an exponentially higher success probability than previous linear-optical schemes. Finally, we demonstrate practical advantages for graph-state resource generation, entanglement distribution between remote spin-photon interfaces, and fusion-based quantum computing. Our results establish high-efficiency many-body measurements as a new primitive for scalable photonic quantum information processing.
The paper asks whether multiphoton interference can improve destructive linear-optical GHZ measurements beyond schemes assembled from two-photon fusions. It constructs dual-rail measurement networks using four-mode Hadamard interferometers, with detection patterns identifying the global XXX parity and pairwise ZZZ parities.
For four photons, the nonadaptive scheme succeeds with probability 9/329/329/32, versus 1/81/81/8 for the compared schemes, assuming maximally mixed input qubits. Failure outcomes project onto WWW, Dicke, or computational-basis states. Feed-forward variants make every outcome a stabilizer projection, but reduce GHZ success to 3/163/163/16; one variant also yields one or two Bell pairs on some failures.
For even nnn, interconnected four-mode blocks give an analytical lower bound scaling as (ϕ/8)n≈0.572n(\phi/\sqrt{8})^n\approx0.572^n(ϕ/8​)n≈0.572n, compared with prior scaling 0.5n0.5^n0.5n. The bound follows from counting compatible input strings and detection configurations that determine the stabilizers, using Lucas-number combinatorics and graph connectivity. Numerical calculations through n=30n=30n=30 suggest approximately 0.6192n0.6192^n0.6192n scaling.
Applications include reducing expected three-photon-GHZ resource costs from 152015201520 to about 114011401140 for an encoded six-ring and from 256256256 to about 100100100 for an encoded four-star. A simulated repeat-until-success computing architecture has a distinguishability threshold of 7.36%7.36\%7.36%, versus 4%4\%4% for the cited two-body architecture.
Success still decreases exponentially with size; the numerical scaling is not proved, connectivity optimization is not exhaustive, and odd sizes require an additional type-I fusion. No experimental demonstration is reported. A note identifies an equivalent four-photon primitive in a patent application; the stated extensions are adaptivity, larger measurements, and applications.
Probabilistic entangling measurements are key operations in linear-optical quantum technologies, enabling the generation and manipulation of high-dimensional quantum states. While prior research has focused predominantly on specific entangled states, notably graph states and Greenberger-Horne-Zeilinger (GHZ) states, broader classes of states with variable entanglement remain underexplored. In this work, we present a linear-optical approach for generating and fusing GHZ-like states, which generalize standard GHZ states to include variable entanglement degrees. We introduce two schemes based on modified fusion gates that allow flexible control over generation efficiency and the entanglement of the output states. These results offer a promising pathway toward resource-efficient entangled-state generation for scalable quantum computing and communication.
Fusion measurements are a key primitive for linear-optical quantum computing and quantum networks. Type-I and type-II fusion gates are widely used to combine small entangled resource states into larger photonic states, but without ancillary resources their success probability is limited to 1/21/21/2. Existing 3/43/43/4-efficient type-I schemes rely on entangled Bell-pair ancillary states, whose preparation is itself probabilistic and resource-intensive. Here we propose a boosted type-I fusion gate using only four ancillary single photons and standard linear-optical primitives. For multiqubit GHZ and graph states, the gate succeeds directly with probability 5/85/85/8, while a distillation protocol converts partially entangled outcomes into additional successful events, raising the total success probability to 11/1611/1611/16 after one stage and asymptotically to 3/43/43/4. We quantify the practical advantage of this scheme by estimating the photonic resources required for generating representative large entangled photonic states and show that the proposed gate significantly reduces the required overhead compared with existing schemes. These results expand the set of resource-efficient linear-optical primitives and enable a substantial reduction in the resource requirements for scalable photonic quantum computing and quantum communication.
Bell-state projections serve as a fundamental basis for most quantum communication and computing protocols today. However, with current Bell-state measurement schemes based on linear optics, only two of four Bell states can be identified, which means that the maximum success probability of this vital step cannot exceed 50%. Here, we experimentally demonstrate a scheme that amends the original measurement with additional modes in the form of ancillary photons, which leads to a more complex measurement pattern, and ultimately a higher success probability of 62.5%. Experimentally, we achieve a success probability of (57.9 ± 1.4)%, a substantial improvement over the conventional scheme. With the possibility of extending the protocol to a larger number of ancillary photons, our work paves the way toward more efficient realizations of quantum technologies based on Bell-state measurements.
Graph states are central resources for quantum information processing, supporting applications in computation, communication, and error correction. In photonic systems, they are typically assembled from smaller entangled states using probabilistic fusion gates, which demand many photons and suffer from low success rates. We present an optimized scheme for directly generating caterpillar graph states (CGSs)—essential resource states for constructing high-dimensional lattice graph states—using only single-photon sources, linear optics, and heralded measurements. Based on the linear quantum graph (LQG) picture, our method produces CGSs efficiently. For CGSs of length l ≥ 3 , it requires l − 2 fewer photons and achieves a success rate 2 l − 2 times higher than fusion-based approaches. These results demonstrate that the LQG picture provides a powerful and flexible route to generating complex photonic graph states for efficient quantum information processing.
The use of higher-dimensional photonic encodings (qudits) instead of two-dimensional encodings (qubits) can improve the loss tolerance and reduce the computational resources of photonic-based quantum information processing. To harness this potential, efficient schemes for entangling operations such as the high-dimensional generalization of a linear optics Bell measurement will be required. We show how an efficient high-dimensional entangled state analyzer can be implemented with a linear optics interferometer and auxiliary photonic states. The degree of entanglement of the auxiliary state is much less than in previous protocols as quantified by an exponentially smaller Schmidt rank. In addition, the auxiliary state only occupies a single spatial mode, allowing it to be generated deterministically from a single quantum emitter coupled to a small qubit register. The reduced complexity of the auxiliary states results in a high robustness to imperfections and we show that auxiliary states with fidelities above 0.9 for qudit dimensions 4 can be generated in the presence of qubit error rates on the order of 10%. This paves the way for experimental demonstrations with current hardware.
Abstract Fault-tolerant fusion-based photonic quantum computing (FBQC) greatly relies on entangling two-photon measurements, called fusions. These fusions can be realized using linear-optical projective Bell-state measurements (BSMs). These linear-optical BSMs are limited to a success probability of 50%, greatly reducing the performance of FBQC schemes. The performance of FBQC can be improved using boosting, thus achieving higher success probabilities by adding additional resources. Here, we realize a boosted BSM using a 4 × 4 multiport splitter and an additional entangled photon pair, allowing for a success probability of up to 75%. In our experiment, we obtain a success probability for our boosted BSM of (69.3 ± 0.3)%, clearly exceeding the 50% limit. We further demonstrate the significance of our boosted BSM for FBQC, showing a threefold increase in robustness to photon loss and a significant reduction of the logical error rates.