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Elad Mentovich

Publications and source records attributed to Elad Mentovich.

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Quantum Error Mitigation with Diffusion-Like Models

Coupling between a quantum system and its environment causes decoherence by transferring information from the system to environmental degrees of freedom. When discretized in time, such interactions can be interpreted as sequences of weak measurements that provide an effective model of noisy quantum dynamics. Motivated by this picture, we propose an AI-assisted error-mitigation framework for quantum diffusion processes generated by sequential local weak measurements. The forward process progressively erases information from the input state through weak measurements performed in randomly selected Pauli bases, producing basis-dependent local dephasing and locally depolarizing dynamics on average. Machine-learning models are trained on exact synthetic density matrices to learn a channel- and distribution-specific denoising map and estimate the corresponding pre-noise state. We benchmark the approach on single-qubit states and separable and entangled multi-qubit registers. We also study distribution-dependent local-to-global reconstruction, in which local reduced density matrices are used to reconstruct the global state. This experimentally motivated setting relies on locally accessible information and is therefore compatible with noisy and distributed quantum systems. More broadly, the framework provides a hybrid classical-quantum approach for approximating non-unitary dynamics and mitigating coherence loss.

quant-ph

Quantum Circuit Cutting: Complexity and Optimization

The current noisy intermediate-scale quantum (NISQ) era is characterized by substantial errors and noise, which limit the practical feasibility of deep, many-qubit circuits. To address these constraints, quantum circuit cutting has emerged as a promising tool. Recently, there has been significant research on methods for performing such cutting effectively. In this work, the duality between quantum circuits and classical graphs - specifically, directed acyclic graphs (dags) - is leveraged to analyze the complexity of finding an optimal circuit-cutting configuration that minimizes the number of cuts. After developing a rigorous graph-theoretic framework, the complexity of identifying cut locations that partition a given quantum circuit into smaller fragments is characterized. The corresponding graph-combinatorial task is then defined, and the resulting partition problem is shown to be NP-complete. Furthermore, even a simplified version of the problem, restricted to circuits composed only of one- and two-qubit gates, is shown to be NP-complete. Finally, based on these constraints, an algorithm grounded in satisfiability modulo theories (SMT) is proposed to find optimal cuts when the number of qubits per partition is bounded. This work therefore provides a complexity-theoretic characterization of cut placement and a practical solver for bounded-size decompositions.

quant-ph

Probeless vs Probe-Based Variable-Strength Eavesdropping in Quantum Key Distribution

Quantum key distribution (QKD) is a provably secure way of generating a secret key, which can later be used for encoding and decoding information. In this paper we analyze the effects of an eavesdropper's variable-strength measurements on QKD. Two types of measurements have been considered: (i) a probe-based model, commonly referred to as a "weak measurement", in which each qubit is weakly coupled to a continuous variable probe which is later projectively measured (ii) a probeless model, usually referred to as a "partial measurement", where only a small (tunable) part of all transmitted photons is projectively measured and the rest are transmitted with no disturbance. The information gain of the eavesdropper and the quantum-bit-error-rate (QBER) are computed for each case. An experimental realization of an intercept-and-resend attack based on variable-strength partial measurements is demonstrated in a time-bin-encoded, fiber-based simplified Bennett-Brassard 1984 (BB84) protocol, which is compatible with data centers. It is shown that the measured information gain and QBER follow the theoretical curves across the full coupling range, validating the partial-measurement model and clarifying its relation to the well-known monitoring channel. Further attacks involving photon number splitting and noise injection during the calibration stage are also analyzed. The results highlight the theoretical differences between weak and partial measurements, while also demonstrating the practicality of probeless eavesdropping in the case of real-world QKD systems.

quant-ph

Silicon Photonics WDM Transceiver with SOA and Semiconductor Mode-Locked Laser

We demonstrate a complete Silicon Photonics WDM link relying on a single section semiconductor mode-locked laser and a single SOA to support up to 12 multiplexed channels with a bit error rate of 1e-12 at serial data rates of 14 Gbps without channel pre-emphasis, equalization or forward error correction. Individual channels reach error free operation at 25 Gbps and multi-channel operation at 25 Gbps is shown to be compatible with standard 7% overhead hard decision forward error correction. Silicon Photonics transmitter and receiver chips are hybridly integrated with driver and receiver electronics. A detailed link model is derived and verified. Particular emphasis is placed on accurate system level modeling of laser RIN, SOA amplified spontaneous emission noise and receiver noise. The impact of the electrical receiver bandwidth and non-Gaussian statistics on level dependent amplified spontaneous emission noise are investigated in detail. The channel count scalability as limited by SOA saturation is further analyzed taking cross gain modulation and four wave mixing into account. While semiconductor mode-locked lasers have been identified as a potential light source for low cost Datacom WDM transceivers for some time, this is, to the best of our knowledge, the first comprehensive investigation of the overall link budget in a Silicon Photonics implementation showing this technology to be a credible contender for low latency datacenter interconnects.

physics.optics

Doped Biomolecules in miniaturized electric junctions

Control over molecular scale electrical properties within nano junctions is demonstrated, utilizing site-directed C60 targeting into protein macromolecules as a doping means. The protein molecules, self-assembled in a miniaturized transistor device, yield robust and reproducible operation. Their device signal is dominated by an active center that inverts affinity upon guest incorporation and thus controls the properties of the entire macromolecule. We show how the leading routs of electron transport can be drawn, spatially and energetically, on the molecular level and, in particular, how the dopant effect is dictated by its 'strategic' binding site. Our findings propose the extension of microelectronic methodologies to the nanometer scale and further present a promising platform for ex-situ studies of biochemical processes.

cond-mat.mes-hall