Academic Articles & Research Papers

Performing quantum computing experiments in the cloud

Quantum computing technology has reached a second renaissance in the past five years. Increased interest from both the private and public sector combined with extraordinary theoretical and experimental progress has solidified this technolog...

The physical origin of a photon-number parity effect in cavity quantum electrodynamics

The rapidly increasing capability to modulate the physicochemical properties of atomic groups and molecules by means of their coupling to radiation, as well as the revolutionary potential of quantum computing for materials simulation and pr...

Error-mitigated fermionic classical shadows on noisy quantum devices

Abstract Efficiently estimating fermionic Hamiltonian expectation values is vital for simulating various physical systems. Classical shadow (CS) algorithms offer a solution by reducing the number of quantum state copies needed, but noise in...

Remarks on the light ring images and the optical appearance of hairy black holes in Einstein–Maxwell-dilaton gravity

Abstract The behaviors of null geodesics in the spherical symmetric black holes in Einstein–Maxwell-dilaton (EMD) theory with coupling function $$f(\Phi )=e^{-2\alpha \Phi }$$ f ( Φ ) = e - 2 α Φ are meticulously analyzed. We investigate th...

Compact Quantum Circuit Design of PUFFIN and PRINT Lightweight Ciphers for Quantum Key Recovery Attack

Quantum computing plays a vital role in the next generation computing platforms as researchers have achieved quantum supremacy by proving that quantum computers can outperform classical computers. These high performance computers will pose ...

Quantum Computing and Quantum Measurement with Mesoscopic Josephson Junctions

Recent experimental demonstrations of quantum coherence of the charge and flux states of Josephson junctions show that the quantum Josephson dynamics can be used to develop scalable quantum logic circuits. In this work, I review the basic c...

Quantum Computing and Simulations for Energy Applications: Review and Perspective

Quantum computing and simulations are creating transformative opportunities by exploiting the principles of quantum mechanics in new ways to generate and process information. It is expected that a variety of areas ranging from day-to-day ac...

Quantum Computing and Quantum Bits in Mesoscopic Systems

Demonstration of hypergraph-state quantum information processing

Abstract Complex entangled states are the key resources for measurement-based quantum computations, which is realised by performing a sequence of measurements on initially entangled qubits. Executable quantum algorithms in the graph-state q...

On the S-matrix of Liouville theory

Abstract The S-matrix for each chiral sector of Liouville theory on a cylinder is computed from the loop expansion of correlation functions of a one-dimensional field theory on a circle with a non-local kinetic energy and an exponential pot...

Quantum resources of quantum and classical variational methods

Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...

Non-supersymmetric AdS from string theory

We construct non-supersymmetric $AdS_3$ solutions of the $\mathrm O(16)× \mathrm O(16)$ heterotic string. Most of the backgrounds have a classical worldsheet definition but are quantum string vacua in the sense that string loop corrections ...

Quantum Computing

QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing Quantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Wher...

Interplay between charge-density-waves, disorder, and superconductivity in transition metal dichalcogenides

Transition metal dichalcogenides (TMDs) are a fascinating class of materials known for their various electronic properties and potential applications in nanoelectronics, quantum computing, and energy storage. This review explores the intric...

Continuous monitoring biosensors for advanced healthcare and environmental applications: challenges, material innovations and future directions

This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...

Efficient thermal dissipation in wafer-scale heterogeneous integration of single-crystalline β-Ga2O3 thin film on SiC

The semiconductor, β-Ga2O3 is attractive for applications in high power electronic devices with low conduction loss due to its ultra-wide bandgap (∼4.9 eV) and large Baliga's figure of merit. However, the thermal conductivity of β-Ga2O3 is ...

The Path to Scalable Distributed Quantum Computing

Researchers are fabricating quantum processors powerful enough to execute small instances of quantum algorithms. Scalability concerns are motivating distributed-memory multicomputer architectures, and experimental efforts have demonstrated ...

Quantum Structure for Modelling Emotion Space of Robots

Utilising the properties of quantum mechanics, i.e., entanglement, parallelism, etc., a quantum structure is proposed for representing and manipulating emotion space of robots. This quantum emotion space (QES) provides a mechanism to extend...

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

BackgroundM2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explo...

Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms

We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude estimation can accelerate derivative pricing quadratically in the target error and we extend this to a quad...