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Hillol Biswas

Publications and source records attributed to Hillol Biswas.

13 recordsLinked to original sources

The Floquet central spin model: A platform to realize eternal time crystals, entanglement steering, and multiparameter metrology

We propose and characterize protocols to engineer exact quantum revivals, discrete time crystals (DTCs), and entanglement oscillations in the periodically driven central spin model. While period-doubling DTCs have been observed in this system before, we uncover a unifying interaction-induced echo mechanism underlying several distinct dynamical regimes. We first demonstrate that this echo can enable exact period-doubling revivals when the Ising interaction strength, $λ$, between the central spin and the $N_{\rm sat}$ satellite spins is tuned to $2 π$. Notably, these revivals persist for arbitrary $N_{\rm sat}$ and transverse field $g$. This not only stabilizes the DTC response over a wide parameter regime, but also leads to a dynamical freezing regime. Furthermore, when $λ=(2m+1)π$ and $g= (2n+1)π/2$ ($\forall \, m,n \in \mathbb{Z}$), this echo induces a Clifford group structure. Consequently, higher-period revivals emerge that naturally steer the system through an entangled manifold of Bell-cat and spin-cat states. We establish that due to parity-dependent phases accumulated during the echo, the recurrence period is $12 T\,\, (24 T)$ for even (odd) $N_{\rm sat}$. Finally, we demonstrate that the multipartite entanglement generated by the Clifford dynamics can be harnessed for multiparameter metrology, with odd $N_{\rm sat}$ enabling Heisenberg-limited sensitivity.

quant-ph

Power Network SCADA Quantum Communications: A Comparison of BB84, B92, E91, and SGS04 Quantum Key Distribution Protocols

The current state, emerging trends, and practical challenges of optical fiber-based power network SCADA quantum communication must be addressed to fully utilize the technological platform's potential in real-world power system SCADA communications involving massive volumes of real-time data, as well as in managing, encoding, and applications such as quantum cryptography. Quantum key distribution (QKD) is an essential part of the cybersecurity paradigm for quantum communication. Even though quantum computing with individual circuits yields probabilistic outcomes for the problem at hand, real-world datasets are complex and challenging to handle, even with telemetry. When using the cybersecurity triad of availability, confidentiality, and integrity (CIA) in reverse order (AIC), availability is given priority in electric power networks. This research assesses the use of the BB84, E91, B92, and SARG04 cryptographic protocols by applying them to large, multivariate power-system SCADA datasets and comparing the outcomes. By leveraging the variety of QKD protocols available with quantum electronics hardware, this simulation work provides a promising avenue for developing implementable frameworks and deploying SCADA/PMU networks in actual power systems.

quant-ph

Comparing a Few Qubit Systems for Superconducting Hardware Compatibility and Circuit Design Sensitivity in Qiskit

The development of complex circuits for practical applications in the current quantum computing ecosystem is based on basic primitives such as Bell states, which provide superposition, entanglement, and coherence. The range of domain-specific quantum applications has been greatly expanded by the availability of simulators and platforms such as IBM Quantum, which are supported by Qiskit. However, disparities between ideal simulator outputs and actual quantum processing unit (QPU) executions in the Noisy Intermediate-Scale Quantum (NISQ) era require the application of quantum error mitigation techniques. Limitations arise from hardware constraints in superconducting qubit systems and from the limited resources of classical simulators as quantum circuits grow. Quantum decoherence, which lowers gate fidelity and builds up at the circuit level with increasing depth, is specifically caused by material-induced flaws and interfaces. This creates a clear connection between circuit reliability, device performance, and material attributes. To address this, the current work uses both simulation and actual hardware on the IBM Sherbrooke 127-qubit processor to study three basic circuit classes over 4 to 10 qubits: the quantum Fourier transform, the Greenberger-Horne-Zeilinger state, and the W state. The study examines trade-offs between circuit complexity, noise robustness, and resource utilization by contrasting simulator and QPU results. The results imply that circuit fidelity can serve as an indirect probe of material-limited noise, opening the door to a framework for designing quantum circuits that accounts for both hardware and materials to achieve scalable quantum advantage.

quant-ph

Quantum Random Synthetic Skyrmion Texture Generation, a Qiskit Simulation

An integer winding, i.e., topological charge, is a characteristic of skyrmions, which are topologically nontrivial spin patterns in magnets. They emerge when smooth two-dimensional spin configurations are stabilized by conflicting interactions such as exchange, anisotropy, the Dzyaloshinskii-Moriya interaction, or geometric frustration. These nanoscale textures, which are typically a few to tens of nanometers in size, are strong 'particle-like' excitations because they are shielded by energy barriers connected to their topology. By exploiting their helicity, i.e., spin rotation angle or associated internal modes, as a two-level system, skyrmions can function as quantum bits or qubits. Two quantized helicity states of a nanometer-scale skyrmion encode the logical value states in a 'skyrmion qubit.' Interestingly, skyrmion qubits are topologically protected and macroscopic, i.e., they involve a large number of spins; however, external influences can still affect them. When the texture is tiny and disconnected, the helicity angle of the skyrmion becomes quantized. A qubit basis is made up of the lowest two energy eigenstates, i.e., symmetric or antisymmetric superpositions of opposite helicity, for example. Therefore, Skyrmion textures can provide valuable insights for different purposes. However, is it possible to synthetically generate skyrmion textures using quantum computing? This paper investigates the possibility and generates a few hundred different textures, producing sample comparisons from various types, which indicate a novel direction for skyrmion-based research based on quantum randomness and other criteria.

quant-ph

Quantum-Circuit-Based Visual Fractal Image Generation in Qiskit and Analytics

As nature is ascribed as quantum, the fractals also pose some intriguing appearance which is found in many micro and macro observable entities or phenomena. Fractals show self-similarity across sizes; structures that resemble the entire are revealed when zoomed in. In Quantum systems, the probability density or wavefunction may exhibit recurring interference patterns at various energy or length scales. Fractals are produced by basic iterative rules (such as Mandelbrot or Julia sets), and they provide limitless complexity. Despite its simplicity, the Schrödinger equation in quantum mechanics produces incredibly intricate patterns of interference and entanglement, particularly in chaotic quantum systems. Quantum computing, the root where lies to the using the principles of quantum-mechanical phenomenon, when applied in fractal image generation, what outcomes are expected? The paper outlines the generation of a Julia set dataset using an approach coupled with building quantum circuit, highlighting the concepts of superposition, randomness, and entanglement as foundational elements to manipulate the generated dataset patterns. As Quantum computing is finding many application areas, the possibility of using quantum circuits for fractal Julia image generation posits a unique direction of future research where it can be applied to quantum generative arts across various ecosystems with a customised approach, such as producing an exciting landscape based on a quantum art theme.

quant-ph

Discrete Time Crystals in the spin-s Central Spin Model

We propose periodic driving protocols to realize discrete time crystals (DTCs) in a spin-s central spin model. Interestingly, we identify parameter regimes, where eternal period-doubling and higher-order(HO)-DTCs can be realized, even for finite-sized systems. We have determined the dependence of the DTC order on the number of satellite spins and the central spin value, s. Intriguingly, we find that certain classes of HO-DTCs produce a series of maximally entangled Bell cat and super-cat states during their dynamical evolution. Finally, we demonstrate that the HO-DTCs can be employed for quantum-enhanced multiparameter sensing at the Heisenberg limit.

quant-ph

Qiskit Quantum Circuits Posit Singlet state in Radical Pair-based Magnetoreception of Migratory Birds

Quantum computing applications in diverse domains are emerging rapidly. Given the limitations of classical computing techniques, the peculiarity of quantum circuits, which can observe quantum phenomena such as superposition, entanglement, and quantum coherence, is remarkable. This capability enables them to achieve measurement sensitivities far beyond classical limits. Research on radical pair-based magnetoreception in migratory birds has been a focus area for quite some time. A quantum mechanics-based computing approach, thus unsurprisingly, identifies a scope of application. In this study, to observe the phenomenon, electron-nucleus spin quantum circuits for different geomagnetic fluxes have been simulated and run through IBM Qiskit quantum processing units with error mitigation techniques. The results of different quantum states are consistent, suggesting singlet-triplet mechanisms that can be emulated, resembling the environment-enabling flights of migratory birds through generations of the avian species. The four-qubit model emulating electron-nucleus systems mimicking the environmental complexity outcome shows the sensitiveness to change of magnetic flux index, high probability of singlet-triplet dynamics, and upholding radical pair model states by the purity of the sub-system and full system outcome of coherence, the hallmark of singlet state dominance. The work involved performing fifty quantum circuits for different magnetic field values, each with one thousand and twenty-four shots for measurement, either in the simulator or on real quantum hardware, and for two error mitigation techniques, preceded by a noise model of a simulator run.

physics.bio-ph

Power Networks SCADA Communication Cybersecurity, A Qiskit Implementation

The cyber-physical system of electricity power networks utilizes supervisory control and data acquisition systems (SCADA), which are inherently vulnerable to cyber threats if usually connected with the internet technology (IT). Power system operations are conducted through communication systems that are mapped to standards, protocols, ports, and addresses. Real-time situational awareness is a standard term with implications and applications in both power systems and cybersecurity. In the plausible quantum world (Q-world), conventional approaches will likely face new challenges. The unique art of transmitting a quantum state from one place, Alice, to another, Bob, is known as quantum communication. Quantum communication for SCADA communication in a plausible quantum era thus obviously entails wired communication through optical fiber networks complying with the typical cybersecurity criteria of confidentiality, integrity, and availability for classical internet technology unless a quantum internet (qinternet) transpires practically. When combined with the reverse order of AIC for operational technology, the cybersecurity criteria for power networks' critical infrastructure drill down to more specific sub-areas. Unlike other communication modes, such as information technology (IT) in broadband internet connections, SCADA for power networks, one of the critical infrastructures, is intricately intertwined with operations technology (OT), which significantly increases complexity. Though it is desirable to have a barrier called a demilitarized zone (DMZ), some overlap is inevitable. This paper highlights the opportunities and challenges in securing SCADA communication in the plausible quantum computing and communication regime, along with a corresponding integrated Qiskit implementation for possible future framework development.

quant-ph

Data Encoding for VQC in Qiskit, A Comparison With Novel Hybrid Encoding

If quantum machine learning emulates the ways of classical machine learning, data encoding in a quantum neural network is imperative for many reasons. One of the key ones is the complexity attributed to the data size depending upon the features and types, which is the essence of machine learning. While the standard various encoding techniques exist for quantum computing, hybrid one is not among many, though it tends to offer some distinct advantages, viz. efficient qubits utilization and increased entanglement, which fits well for variation quantum classifier algorithm by manipulating the essential criteria of ZZFeatureMaps and RealAmplitudes. While Amplitude encoding can turn traits normalized into quantum amplitudes, encoding an angle by using Ry gates to encode feature values into rotation angles, and phase encoding by using Rz gates to encode extra feature information as phase is plausible to combine all together. By combining these three methods, this paper demonstrates that efficient qubit usage is ensured as Amplitude encoding reduces the required qubits, Angle encoding makes state freedom better and is used for expressive encoding, and Phase-based distinction. Finally, using classical optimizers, the hybrid encoding technique through VQC is fit in training and testing using a synthetic dataset, and results have been compared to the standard VQC encoding in qiskit machine learning ecosystems.

quant-ph

Numerical package for QFT calculations of defect-induced phenomena in graphene

We introduce a computationally efficient method based on the path integral formalism to describe defect-modified graphene. By taking into account the entire Brillouin zone, our approach respects the lattice symmetry and can be used to investigate both short-range and long-range effects. The proposed method's key advantage is that the computational complexity does not increase with the system size, scaling, instead, with the number of defects. As a demonstration of our method, we explore the graphene-mediated RKKY interaction between multiple magnetic impurities. Our results concur with earlier findings by showing that the interaction strength and sign depend on various factors like impurity separation, sublattice arrangement, and system doping. We demonstrate that frustration can be introduced between the impurity spins by controlling their relative positions and that this frustration can be switched on and off by tuning the chemical potential of the system.

cond-mat.mes-hall

Gate-tunable artificial nucleus in graphene

We report an atomically-precise integration of individual nitrogen (N) dopant as an in-plane artificial nucleus in a graphene device by atomic implantation to probe its gate-tunable quantum states and correlation effects. The N dopant creates the characteristic resonance state in the conduction band, revealing a giant carrier-dependent energetic renormalization up to 350 meV with respect to the Dirac point, accompanied by the observation of long-range screening effects. Joint density functional theory and tight-binding calculations with modified perturbation potential corroborate experimental findings and highlight the short-range character of N-induced perturbation.

cond-mat.mtrl-sci

Graphene-mediated interaction between adsorbed impurities

Interaction between adsorbed atoms in graphene is studied using a combination of DFT and the path integral formalism. Our results reveal a complex non-monotonic interaction profile. We show that the strength and sign of the interaction are dictated by the arrangement of impurities, as well as the system doping. These findings can be used to interpret the complex behavior of impurities in experimentally realized systems, as well as other classes of impurities, such as C substitutions in graphene.

cond-mat.mes-hall

Elimination of thermal bistability in superconducting weak links by an inductive shunt

The quantum phase-coherent behavior of superconducting weak links (WL) is often quenched in the finite voltage state, due to the heat dissipation and related thermal hysteresis. The latter can be reduced by improving heat evacuation and/or by lowering the critical current, so that a phase-dynamic regime is obtained, albeit over a narrow bias-current and temperature range. Here we demonstrate that an inductive shunt with well-chosen parameters introduces unexpected nonlinear dynamics that destabilize an otherwise stable fixed point in the dissipative branch. This leads to a nonhysteretic behavior with large voltage oscillations in intrinsically hysteretic WL-based micron-size superconducting quantum interference devices. A dynamic thermal model quantitatively describes our observations and further allows us to elaborate on the optimal shunting conditions.

cond-mat.supr-con