Gregory R. Steinbrecher

Quantum transport simulations in a programmable nanophotonic processor

Environmental noise and disorder play critical roles in quantum particle and wave transport in complex media, including solid-state and biological systems. While separately both effects are known to reduce transport, recent work predicts that in a limited region of parameter space, noise-induced dephasing can counteract localization effects, leading to enhanced quantum transport. Photonic integrated circuits are promising platforms for studying such effects, with a central goal of developing large systems providing low-loss, high-fidelity control over all parameters of the transport problem. Here, we fully map the role of disorder in quantum transport using a nanophotonic processor: a mesh of 88 generalized beamsplitters programmable on microsecond timescales. Over 64,400 experiments we observe distinct transport regimes, including environment-assisted quantum transport and the ‘quantum Goldilocks’ regime in statically disordered discrete-time systems. Low-loss and high-fidelity programmable transformations make this nanophotonic processor a promising platform for many-boson quantum simulation experiments. A large-scale, low-loss and phase-stable programmable nanophotonic processor is fabricated to explore quantum transport phenomena. The signature of environment-assisted quantum transport in discrete-time systems is observed for the first time.

Quantum logic using correlated one-dimensional quantum walks

We present a scheme for implementing high-fidelity quantum logic gates using the quantum walk of a few interacting bosons on a one-dimensional lattice. The gate operation is carried out by a single compact lattice described by a one-dimensional Bose-Hubbard model with only nearest-neighbor hopping and on-site interactions. We find high-fidelity deterministic logic operations for a gate set (including the CNOT gate) that is universal for quantum information processing. We discuss the applicability of this scheme in light of recent developments in controlling and monitoring cold-atoms in optical lattices, as well as an implementation with realistic nonlinear quantum photonic devices.

Programmable dispersion on a photonic integrated circuit for classical and quantum applications

We demonstrate a large-scale tunable-coupling ring resonator array, suitable for high-dimensional classical and quantum transforms, in a CMOS-compatible silicon photonics platform. The device consists of a waveguide coupled to 15 ring-based dispersive elements with programmable linewidths and resonance frequencies. The ability to control both quality factor and frequency of each ring provides an unprecedented 30 degrees of freedom in dispersion control on a single spatial channel. This programmable dispersion control system has a range of applications, including mode-locked lasers, quantum key distribution, and photon-pair generation. We also propose a novel application enabled by this circuit - high-speed quantum communications using temporal-mode-based quantum data locking - and discuss the utility of the system for performing the high-dimensional unitary optical transformations necessary for a quantum data locking demonstration.

Programmable nanophotonic processor for arbitrary high fidelity optical transformations

We present an architecture for programmable nanophotonic processors capable of arbitrary discrete transformations for quantum and classical applications. A method to combat fabrication imperfections with high fidelity is discussed along with initial experimental results.

Quantum random walks in a programmable nanophotonic processor

Quantum random walks (QRWs) implemented in photonic media have seen significant recent attention for their applicability to problems in quantum simulation and quantum transport. However, performing statistically robust and high-fidelity studies of these problems has required either manual tuning of optical elements or the fabrication of multiple integrated photonic chips. Here, we present our recent theoretical and preliminary experimental results on the role of disorder and decoherence in QRWs implemented in a large-scale, programmable nanophotonic processor (PNP).

Cross-layer design to maintain earthquake sensor network connectivity after loss of infrastructure

We present the design of a cross-layer protocol to maintain connectivity in an earthquake monitoring and early warning sensor network in the absence of communications infrastructure. Such systems, by design, warn of events that severely damage or destroy communications infrastructure. However, the data they provide is of critical importance to emergency and rescue decision making in the immediate aftermath of such events, as is continued early warning of aftershocks, tsunamis, or other subsequent dangers. Utilizing a beyond line-of-sight (BLOS) HF physical layer, we propose an adaptable cross-layer network design that meets these specialized requirements. We are able to provide ultra high connectivity (UHC) early warning on strict time deadlines under worst-case channel conditions along with providing sufficient capacity for continued seismic data collection from a 1000 sensor network.