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Public defence in Engineering Physics, M.Sc. Mikhail Perelshtein

Public defence from the Aalto University School of Science, Department of Applied Physics
Illustration by Mikhail Perelshtein with the help of DALL·E, powered by GPT-4.
Illustration by Mikhail Perelshtein with the help of DALL·E, powered by GPT-4.

Title of the doctoral thesis: Harnessing Quantum Resources in Superconducting Devices for Computing and Sensing

Doctoral student: Mikhail Perelshtein
Opponent: Dr. José A. Aumentado, National Institute of Standards and Technology (NIST), USA
Opponent: Associate Prof. Peter Samuelsson, Lund University, Sweden
Custos: Prof. Pertti Hakonen, Aalto University School of Science, Department of Applied Physics

Quantum resources play a pivotal role in the emerging field of quantum technologies, underpinning the development of quantum computers, communication systems, and sensing devices with transformative capabilities beyond classical counterparts. In this thesis, key quantum resources, such as entanglement and coherency, are investigated with an emphasis on superconducting metamaterials, including Josephson Parametric Amplifiers, Travelling Wave Parametric Amplifiers, and artificial transmon atoms. 

The presented work strives to explore, unify, and harness the quantum resources in quantum sensing and computing tasks. The thesis presents the generation of multipartite quantum entanglement using innovative pump tone techniques applied to the Josephson parametric system, expanding the possibilities for microwave control of the entanglement structure. The generation of frequency-entangled photons with record-breaking 4 GHz frequency separation is presented for distributed Josephson metamaterial, highlighting the practical implications of entangled microwave photons in broadband quantum information processing. Besides, the thesis presents the protocol for preparation of multi-qubit states with target amplitudes, which features polylogarithmic scaling in the number of encoded parameters. The protocol demonstrates its effectiveness with large-scale circuits up to 100 qubits, which are studied numerically. 

The presented work advances phase estimation algorithm for quantum sensing, optimizing resource utilization and sensitivity, particularly in the realm of magnetic field measurements. It further explores the effectiveness of separable and entangled states for magnetometry by conducting experiments on existing quantum hardware through cloud-based IBM quantum systems. A novel sensing algorithm for multi-level artificial atoms emerges from this exploration, designed to maximize the utilization of available quantum resources, which is numerically investigated. 

Finally, the thesis presents a study of the hybrid quantum algorithm for solving large linear systems of equations, showcases the current state of intermediate-scale quantum computers by implementing a record-breaking 131,072-dimensional problem on IBM quantum processors, and proposes the benchmark for future hardware developments.

Thesis available for public display 10 days prior to the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/

Contact details:


Doctoral theses in the School of Science: https://aaltodoc.aalto.fi/handle/123456789/52

Key words:

Quantum Technologies, Quantum Computers, Quantum Sensing, Entanglement, Coherency, Superconducting Metamaterials, Josephson Parametric Amplifiers, Travelling Wave Parametric Amplifiers, Transmon, Multipartite Entanglement, Microwave Control, Frequency-Entangled Photons, Quantum Information Processing, Multi-Qubit States, Quantum Sensing, Magnetometry, IBM Quantum Systems, Quantum Algorithms, Intermediate-Scale Quantum Computers

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