551 citations · 1.8k across the 31 of their papers we have counts for
31 papers
AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization
Harshkumar Oza, Aritra Sarkar, Syed Naqi Abbas +4
As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algorithmic feasibility with system…
Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
Harsh Wadhwa, Rahul Bhowmick, Naipunnya Raj +3
Quantum machine learning models generally lack principled design guidelines, often requiring full resource-intensive training across numerous choices of encodings, quantum circuit…
Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation
Naipunnya Raj, Rajiv Sangle, Avinash Singh +1
In this work, we introduce the Quantum Generative Adversarial Autoencoder (QGAA), a quantum model for generation of quantum data. The QGAA consists of two components: (a) Quantum A…
Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines
Ruchira V Bhat, Rahul Bhowmick, Avinash Singh +1
The preparation of quantum Gibbs states is a fundamental challenge in quantum computing, essential for applications ranging from modeling open quantum systems to quantum machine le…
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
Rahul Bhowmick, Harsh Wadhwa, Avinash Singh +3
Quantum computers offer a promising route to tackling problems that are classically intractable such as in prime-factorization, solving large-scale linear algebra and simulating co…
Non-CSS color codes on 2D lattices : Models and Topological Properties
Pramod Padmanabhan, Abhishek Chowdhury, Fumihiko Sugino +2
The two-dimensional color code is an alternative to the toric code that encodes more logical qubits while maintaining crucial features of the toric…
Fault-tolerant quantum computation with static linear optics
Ilan Tzitrin, Takaya Matsuura, Rafael N. Alexander +5
The scalability of photonic implementations of fault-tolerant quantum computing based on Gottesman-Kitaev-Preskill (GKP) qubits is injured by the requirements of inline squeezing a…
Fast simulation of bosonic qubits via Gaussian functions in phase space
J. Eli Bourassa, Nicolás Quesada, Ilan Tzitrin +6
Bosonic qubits are a promising route to building fault-tolerant quantum computers on a variety of physical platforms. Studying the performance of bosonic qubits under realistic gat…
Quantum circuits with many photons on a programmable nanophotonic chip
J. M. Arrazola, V. Bergholm, K. Brádler +36
Growing interest in quantum computing for practical applications has led to a surge in the availability of programmable machines for executing quantum algorithms. Present day photo…
Bosonic data hiding: power of linear vs non-linear optics
Krishna Kumar Sabapathy, Andreas Winter
We show that the positivity of the Wigner function of Gaussian states and measurements provides an elegant way to bound the discriminating power of "linear optics", which we formal…
Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer
J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer +10
Photonics is the platform of choice to build a modular, easy-to-network quantum computer operating at room temperature. However, no concrete architecture has been presented so far…
Progress towards practical qubit computation using approximate Gottesman-Kitaev-Preskill codes
Ilan Tzitrin, J. Eli Bourassa, Nicolas C. Menicucci +1
Encoding a qubit in the continuous degrees of freedom of an oscillator is a promising path to error-corrected quantum computation. One advantageous way to achieve this is through G…
Simulating realistic non-Gaussian state preparation
N. Quesada, L. G. Helt, J. Izaac +4
We consider conditional photonic non-Gaussian state preparation using multimode Gaussian states and photon-number-resolving detectors in the presence of photon loss. While simulati…
Generation of photonic non-Gaussian states by measuring multimode Gaussian states
Daiqin Su, Casey R. Myers, Krishna Kumar Sabapathy
We present a detailed analytic framework for studying multimode non-Gaussian states that are conditionally generated when few modes of a multimode Gaussian state are subject to pho…
Conversion of Gaussian states to non-Gaussian states using photon-number-resolving detectors
Daiqin Su, Casey R. Myers, Krishna Kumar Sabapathy
Generation of high fidelity photonic non-Gaussian states is a crucial ingredient for universal quantum computation using continous-variable platforms, yet it remains a challenge to…
Production of photonic universal quantum gates enhanced by machine learning
Krishna Kumar Sabapathy, Haoyu Qi, Josh Izaac +1
We introduce photonic architectures for universal quantum computation. The first step is to produce a resource state which is a superposition of the first four Fock states with a p…
All phase-space linear bosonic channels are approximately Gaussian dilatable
Ludovico Lami, Krishna Kumar Sabapathy, Andreas Winter
We compare two sets of multimode quantum channels acting on a finite collection of harmonic oscillators: (a) the set of linear bosonic channels, whose action is described as a line…
Implementing quantum algorithms on temporal photonic cluster states
Daiqin Su, Krishna Kumar Sabapathy, Casey R. Myers +3
Implementing quantum algorithms is essential for quantum computation. We study the implementation of three quantum algorithms by performing homodyne measurements on a two-dimension…
ON states as resource units for universal quantum computation with photonic architectures
Krishna Kumar Sabapathy, Christian Weedbrook
Universal quantum computation using photonic systems requires gates whose Hamiltonians are of order greater than quadratic in the quadrature operators. We first review previous pro…
Divergence-free approach for obtaining decompositions of quantum-optical processes
K. K. Sabapathy, J. S. Ivan, R. García-Patrón +1
Operator-sum representations of quantum channels can be obtained by applying the channel to one subsystem of a maximally entangled state and deploying the channel-state isomorphism…
Scaling maps of -ordered quasiprobabilities are either nonpositive or completely positive
J. Solomon Ivan, Krishna Kumar Sabapathy, R. Simon
Continuous-variable systems in quantum theory can be fully described through any one of the -ordered family of quasiprobabilities , . We…
Some aspects of the interplay between bipartite correlations and quantum channels
Krishna Kumar Sabapathy
This thesis explores ways in which quantum channels and correlations (of both classical and quantum types) manifest themselves, and also studies the interplay between these two asp…
Non-Gaussian operations on bosonic modes of light: Photon-added Gaussian channels
Krishna Kumar Sabapathy, Andreas Winter
We present a framework for studying bosonic non-Gaussian channels of continuous-variable systems. Our emphasis is on a class of channels that we call photon-added Gaussian channels…
Process output nonclassicality and nonclassicality depth of quantum-optical channels
Krishna Kumar Sabapathy
We introduce a quantum-optical notion of nonclassicality that we call as the process output nonclassicality for multimode quantum channels. The motivation comes from an information…