160 citations · 311 across the 29 of their papers we have counts for
23 papers · 1 filter
Symmetry Constraints Regularize Neural Quantum State Learning
Turbasu Chatterjee, Manas Sajjan, Songbo Xie +4
Neural quantum states (NQS) offer highly expressive variational wavefunctions, but their optimization is frequently bottlenecked by redundant parameters and poorly conditioned land…
Ensemble Engineering to Overcome Destructive Cancellation in Quantum Measurements
Myeongsu Kim, Manas Sajjan, Sabre Kais
Quantum state preparation can shape how positive and negative contributions combine in correlation measurements, providing a route to control cancellation through ensemble engineer…
Continuous-time quantum-walk centrality for protein residue interaction networks
Shah Ishmam Mohtashim, Manas Sajjan, Sabre Kais
We present a quantum-dynamical framework for identifying structurally important residues in proteins based on continuous time quantum walks (CTQWs) on weighted residue interaction…
Quantum Machine Learning for Complex Systems
Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi +2
Quantum machine learning (QML) is rapidly transitioning from theoretical promise to practical relevance across data-intensive scientific domains. In this Review, we provide a struc…
Out-of-time-order correlators bridge classical transport and quantum dynamics
Sophia N. Fricke, Haiyan Mao, Manas Sajjan +4
The out-of-time-order correlator (OTOC) has emerged as a central tool for quantifying decoherence across wide-ranging physical platforms. Here we demonstrate its direct measurement…
Modulator-Assisted Zeno Control of Energy Transfer in Quantum Batteries
Songbo Xie, Manas Sajjan, Ashok Ajoy +1
Efficient operation of quantum batteries requires not only fast energy transfer but also the ability to halt the charging process to prevent reverse flow. Existing approaches typic…
Maximal Entropy Formalism and the Restricted Boltzmann Machine
Vinit Singh, Rishabh Gupta, Manas Sajjan +3
The connection between the Maximum Entropy (MaxEnt) formalism and Restricted Boltzmann Machines (RBMs) is natural, as both give rise to a Boltzmann-like distribution with constrain…
A deep dive into the interplay of structured quantum peaked circuits and infinite temperature correlation functions
Myeongsu Kim, Manas Sajjan, Sabre Kais
Random quantum circuits have been extensively explored for quantum supremacy demonstrations. However, verifying their output distributions remains challenging. Here, we propose the…
Superdiffusion resilience in Heisenberg Chains with 2D interactions on a quantum processor
Keerthi Kumaran, Manas Sajjan, Bibek Pokharel +7
Observing superdiffusive scaling in the spin transport of the integrable 1D Heisenberg model is one of the key discoveries in non-equilibrium quantum many-body physics. Despite thi…
Strong Local Passivity in Unconventional Scenarios: A New Protocol for Amplified Quantum Energy Teleportation
Songbo Xie, Manas Sajjan, Sabre Kais
Quantum energy teleportation (QET) has been proposed to overcome the restrictions of strong local passivity (SLP) and to facilitate energy transfer in quantum systems. Traditionall…
Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications
Manas Sajjan, Vinit Singh, Sabre Kais
Neural-network quantum states (NQS) offer a versatile and expressive alternative to traditional variational ansätze for simulating physical systems. Energy-based frameworks, like H…
Extracting and Storing Energy From a Quasi-Vacuum on a Quantum Computer
Songbo Xie, Manas Sajjan, Sabre Kais
We explore recent advancements in the understanding and manipulation of vacuum energy in quantum physics, with a focus on the quantum energy teleportation (QET) protocol. Tradition…
Quantum Algorithms and Applications for Open Quantum Systems
Luis H. Delgado-Granados, Timothy J. Krogmeier, LeeAnn M. Sager-Smith +10
Accurate models for open quantum systems -- quantum states that have non-trivial interactions with their environment -- may aid in the advancement of a diverse array of fields, inc…
Designing variational ansatz for quantum-enabled simulation of non-unitary dynamical evolution -- an excursion into Dicke supperradiance
Saurabh Shivpuje, Manas Sajjan, Yuchen Wang +2
Adaptive Variational Quantum Dynamics (AVQD) algorithms offer a promising approach to providing quantum-enabled solutions for systems treated within the purview of open quantum dyn…
Møller-Plesset Perturbation Theory Calculations on Quantum Devices
Junxu Li, Xingyu Gao, Manas Sajjan +3
Accurate electronic structure calculations might be one of the most anticipated applications of quantum computing.The recent landscape of quantum simulations within the Hartree-Foc…
Random Projection using Random Quantum Circuits
Keerthi Kumaran, Manas Sajjan, Sangchul Oh +1
The random sampling task performed by Google's Sycamore processor gave us a glimpse of the "Quantum Supremacy era". This has definitely shed some spotlight on the power of random q…
Hamiltonian learning from time dynamics using variational algorithms
Rishabh Gupta, Raja Selvarajan, Manas Sajjan +2
The Hamiltonian of a quantum system governs the dynamics of the system via the Schrodinger equation. In this paper, the Hamiltonian is reconstructed in the Pauli basis using measur…
Dimensionality reduction with variational encoders based on subsystem purification
Raja Selvarajan, Manas Sajjan, Travis S. Humble +1
Efficient methods for encoding and compression are likely to pave way towards the problem of efficient trainability on higher dimensional Hilbert spaces overcoming issues of barren…
Imaginary components of out-of-time correlators and information scrambling for navigating the learning landscape of a quantum machine learning model
Manas Sajjan, Vinit Singh, Raja Selvarajan +1
We introduce and analytically illustrate that hitherto unexplored imaginary components of out-of-time correlators can provide unprecedented insight into the information scrambling…
Variational Approach to Quantum State Tomography based on Maximal Entropy Formalism
Rishabh Gupta, Manas Sajjan, Raphael D. Levine +1
Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices. One of the central tasks in the fie…
Variational quantum circuits to prepare low energy symmetry states
Raja Selvarajan, Manas Sajjan, Sabre Kais
We explore how to build quantum circuits that compute the lowest energy state corresponding to a given Hamiltonian within a Symmetry subspace by explicitly encoding it into the cir…
Statistical correlation between quantum entanglement and spin-orbit coupling in crossed beam molecular dynamics
Junxu Li, Manas Sajjan, Sumit Suresh Kale +1
Non-classical features like interference is already being harnessed to control the output of chemical reactions. However quantum entanglement which is an equally enigmatic many-bod…
Manipulating phonons of a trapped-ion system using optical tweezers
Yi Hong Teoh, Manas Sajjan, Zewen Sun +2
We propose an experimental architecture where an array of optical tweezers affords site-dependent control over the confining potential of a conventional radio-frequency ion trap. T…