Doctoral Research

The importance of quantum technologies has surged in the last few decades, promising fundamental advantages for tasks in information processing, communication, sensing, and metrology. As practical quantum technologies become imminent, tailored use of near-term hardware will be essential to achieve so-called 'quantum supremacy.'

My research utilizes tools/techniques from quantum optics and quantum information theory to address quantum communication and quantum sensing tasks.

Quantum Communications

Investigating efficient resource-aware ways of distributing entanglement on networks of various length scales.
- How does a network architect build an optimized network by analyzing the tradeoffs between link architectures, experimental hardware limitations, quantum memory resource constraints, and photonic qubit encoding choices?
Near-term quantum networks for entanglement distribution will likely be devoid of error correction hardware.
- What applications can show sufficient quantum advantage with noisy entanglement?
Quantum networking in the high optical link transmissivity regime will look drastically different from networks for long-range entanglement generation.
- What are the most efficient link architectures and photonic qubit encoding choices for achieving the limits of quantum communications in this regime?

Quantum Sensing

Non-Markovian interactions between emitters demonstrate exciting properties such as delay-induced radiative decay beyond those predicted for Dicke states.
- Can we utilize non-Markovian interactions to enhance the sensing of field parameters?
Quantum sensing in the Heisenberg-limited regime (of sensitivity) is really 'fragile'; noise degrades performance and limits the scaling to those attained by classical probes.
- How can one develop a theory for finite sample estimation?
- Is the effect of noise and imperfect quantum probe state preparation in the asymptotic regime sufficiently encapsulated by assuming perfect but finite-sized probes or a finite number of measurement samples?

Highlighted Projects and Publications

In-Depth Physical Layer Analysis of Quantum Networks

Quantum networking will require the construction of network links optimized to maximize the entanglement generation rate while maintaining a high quality of the distributed state to meet end-user applications. I have contributed to the research efforts at the NSF ERC Center for Quantum Networks by developing in-depth models for quantum link architectures. We have examined tradeoffs in photonic encoding choices and link architecture and created detailed models for decoherence in Group IV vacancy in diamond-based quantum memories.

We are compiling all our physical link-level models into one cohesive Python package (and hopefully release it soon!).

Optimizing Quantum Links for Quantum Communications in the Low-Loss Regime

Communications between nodes in quantum data centers and quantum memories on chips will need to encode information beyond single-photon-based qubit encodings. We examined the use of coherent states and Gottesman-Kitaev-Preskill (GKP) encoded qudits to generate entanglement at rates fundamentally higher than the more prominent Barett-Kok/Duan-Lukin-Cirac-Zoller schemes. With the GKP encoding strategy, we demonstrated that our proposal saturates the repeaterless bound as channel transmissivity approaches 1.

Developing Near-Deterministic Sources of Photonic Entangled States

The traditional source of photonic entanglement (based on spontaneous parametric down-conversion) is inherently probabilistic and requires careful pump power optimization to avoid multi-pair events that may degrade entanglement delivery performance over lossy networks. We proposed a cascaded source of heralded photonic entangled states to generate near-deterministic entangled pairs when multiplexed spatially. We extended this to a frequency multiplexed source design that eliminates size-dependent switching losses.

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