47 citations · 98 across the 13 of their papers we have counts for
13 papers
Hamiltonian-Guided Leverage Embedding: Robust Subspace Compression for Efficient QAOA Parameter Estimation
Sumanta Mukherjee, Kalyan Dasgupta, Surya Shravan Kumar Sajja +5
Every Ising energy is a known linear function of measured spin features, yet the standard QAOA estimator discards this structure. We introduce Hamiltonian-Guided Leverage Embedding…
Quantum Variational Approaches to the Maximum Independent Set Problem at Utility Scale
Kalyan Dasgupta, Sumanta Mukherjee, Dhriti Verma +4
Near-optimal solutions to Maximum Independent Set on dense graphs sit in local optima that greedy correction and maximality extension cannot escape. We encode near-optimal seeds as…
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant +5
Ising machines---special-purpose hardware for heuristically solving Ising optimization problems---based on probabilistic bits (p-bits) have been established as a promising alternat…
MMGaP: Multi-User MIMO Detection and Precoding using GPU-assisted Physics-inspired Computation
Abhishek Kumar Singh, Kyle Jamieson
Physics-inspired and quantum compute based methods for processing in the physical layer of next-generation cellular radio access networks have demonstrated theoretical advances in…
Optimizing Configuration Selection in Reconfigurable-Antenna MIMO Systems: Physics-Inspired Heuristic Solvers
I. Krikidis, C. Psomas, A. K. Singh +1
Reconfigurable antenna multiple-input multiple-output (MIMO) is a foundational technology for the continuing evolution of cellular systems, including upcoming 6G communication syst…
Multi Digit Ising Mapping for Low Precision Ising Solvers
Abhishek Kumar Singh, Kyle Jamieson
The last couple of years have seen an ever-increasing interest in using different Ising solvers, like Quantum annealers, Coherent Ising machines, and Oscillator-based Ising machine…
Optimizing Reconfigurable Antenna MIMO Systems with Coherent Ising Machines
Ioannis Krikidis, Abhishek Kumar Singh, Kyle Jamieson
Reconfigurable antenna multiple-input multiple-output (MIMO) is a promising technology for upcoming 6G communication systems. In this paper, we deal with the problem of configurati…
X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism
Minsung Kim, Abhishek Kumar Singh, Davide Venturelli +2
Quantum Annealing (QA)-accelerated MIMO detection is an emerging research approach in the context of NextG wireless networks. The opportunity is to enable large MIMO systems and th…
Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach
Abhishek Kumar Singh, Ari Kapelyan, Davide Venturelli +1
Multiple-Input-Multiple-Output~(MIMO) signal detection is central to every state-of-the-art communication system, and enhancements in error performance and computation complexity o…
A Finite-Range Search Formulation of Maximum Likelihood MIMO Detection for Coherent Ising Machines
Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson
The last couple of years have seen an emergence of physics-inspired computing for maximum likelihood MIMO detection. These methods involve transforming the MIMO detection problem i…
TreeStep: Tree Search for Vector Perturbation Precoding under per-Antenna Power Constraint
Abhishek Kumar Singh, Kyle Jamieson
Vector Perturbation Precoding (VPP) can speed up downlink data transmissions in Large and Massive Multi-User MIMO systems but is known to be NP-hard. While there are several algori…
Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection
Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli +1
Optimal MIMO detection has been one of the most challenging and computationally inefficient tasks in wireless systems. We show that the new analog computing techniques like Coheren…
Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding
Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli +1
In a multi-user system with multiple antennas at the base station, precoding techniques in the downlink broadcast channel allow users to detect their respective data in a non-coope…