Featured Quantum (2025)

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“Layered Light: On‑Chip Quantum Entanglement in 2D”

In this review, researchers explore how ultrathin 2D van der Waals materials—like graphene, MoS₂, and WS₂—are being harnessed to generate entangled photon pairs directly on chip. These layered crystals enable compact, scalable quantum photonic devices with remarkable efficiency. The work covers advances in integrating sources into photonic circuits, addressing fabrication challenges, and demonstrating entanglement robust enough for sensing, secure communication, quantum computing, and cryptography. With tunable emission and compatibility with existing semiconductor platforms, these materials promise to bring sophisticated quantum functionalities into mainstream devices.

“Sensing the Unseen: Quantum Precision Across Multiple Dimensions”

This comprehensive review dives into quantum strategies for simultaneously measuring multiple physical parameters—such as phase, amplitude, magnetic field, and temperature—with unprecedented precision. By examining sources of quantum noise and differentiating between standard quantum and Heisenberg limits, the authors illustrate how entanglement, adaptive measurements, and collective observables can break conventional sensitivity barriers. The survey emphasizes experimental implementations in distributed sensor networks, atomic ensembles, and optical interferometry, pointing towards practical deployment in fields like navigation, environmental monitoring, and distributed quantum networks.

“Complexity Bridges: From Black Holes to Quantum Circuits”

This theoretical survey unites insights from quantum computing, field theory, and gravitational physics through the concept of quantum complexity—how difficult it is to prepare a given quantum state or operation. It maps connections between AdS/CFT correspondence, operator growth, tensor networks, and circuit depth in quantum computing. The work clarifies how complexity measures illuminate state preparation, scrambling, and holographic dualities, opening new avenues to quantify gravitational dynamics via quantum circuits. It sets the stage for cross-disciplinary advances in both fundamental physics and quantum algorithm design.

“Quantum Software Engineering: Transforming the Process of Software Development”

This pioneering review introduces the emerging discipline of Quantum Software Engineering (QSE). It explores how quantum computing reshapes classical software development cycles using quantum-enhanced algorithms, including quantum machine learning and optimization. The article contrasts traditional software models with quantum approaches, highlighting toolchain limitations and calling for new paradigms in software testing, debugging, and architecture. It identifies quantum-native needs and outlines a roadmap for integrating QSE into future development platforms, essential as quantum processors transition from prototypes to production systems.

Rajendra Parekh Kalanidhi

1. #QSE — Quantum Software Engineering

2. #Quantum — Quantum physics and technology

3. #Entanglement — A quantum link between particles

4. #Photonics — Light-based computing and technologies

5. #2Dmaterials — Atomically thin materials like graphene

6. #QuantumSensing — Measuring physical properties with quantum tools

7. #Metrology — Science of precise measurements

8. #QuantumCircuits — Diagrams of quantum operations

9. #QuantumComputing — Processing information with qubits

10. #QuantumResearch — Cutting-edge quantum science

11. #QuantumAlgorithms — Computational methods for quantum processors