Project Details
Description
Quantum information encoding and decoding for quantum sensing I. Pikovski,StevensInstitute of Technology Quantum technologies promise transformative new capabilities. Quantum computers can perform some computational tasks that are essentially impossible with classical devices and quantum sensors can achieve sensitivities that outperform classical measurement strategies. Such technologies leverage the quantum laws of physics for practical advantages. However, quantum mechanics also imposes limitations that have no classical counterparts. Theunitarityof quantum mechanics results in the no-cloning feature: Arbitrary quantum systems cannot be copied, as opposed to classical ones, which makes error correction of quantum information particularly challenging. In addition, quantum phenomena are exceptionally fragile, as most interactions destroy the crucial quantum phenomena. For quantum sensing, additional limitations are imposed by the fundamentally probabilistic nature of the theory: The inevitable quantum noise due to non-commutativity results in practical and fundamental limitations on the accumulation and read-out of signals. Overall, quantum technologies thus have to balance the extraordinary capabilities enabled by quantum effects with the inherent challenges imposed by quantum physics. In this project, we will develop new and improved quantum sensing paradigms based on quantum error correction. For quantum computing, error correction is a key component that enables the computational advantage despite the challenges of noise anddecoherence. It relies on intricate quantum information encoding strategies and algorithms to correct deleterious effects. We will adapt such techniques, and will develop new ones in similar spirit based on insights from quantum foundations, for quantum sensing. The goal is to create innovative new strategies for encoding and detection of quantum information in quantum metrology. The results will show how to better accumulate, transmit and shield quantum information in quantum sensors, adapting ideas fromNISQquantum computing on the one hand and quantum-classical hybrid descriptions on the other hand. The project will generalize and adapt methods developed for quantum information encoding to quantum sensors, in order to minimize the inevitable quantum noise from signal accumulation. Our work will rely on techniques from quantum foundations that couple classical and quantum systems and that can be used for new sensor designs that can exhibit quantum advantages. We will generalize such techniques to a broader class of systems and combine them withNISQerror correction strategies. In addition, we will also study how currently deployed quantum error correction codes can berepurposedfor sensing tasks, thus creating new types of sensors. We will analyze how such new sensing strategies can be employed with currently used systems and what types of signals they can reveal. Overall, this theoretical research will enable entirely new quantum sensors, by outlining new paradigms for sensing that can offer quantum advantages in novel architectures. The results will pave the way for new and improved sensors that can be constructed from currently available systems. Our work will focus on novel sensing paradigms that have so far been little explored, inspired by quantum error correction in theory and implementation. The results will show new paths for achieving quantum advantages and noise mitigation in systems such as atomic clocks and quantummagnetometers, and will enable new and improved sensor designs based on quantum error correctedNISQdevices.Quantum information encoding and decoding for quantum sensingI. Pikovski,StevensInstitute of TechnologyQuantum technologies promise transformative new capabilities. Quantum computers can perform some computational tasks that are essentially impossible with classical devices and quantum sensors can achieve sensitivities that outperform classical measurement strategies. Such technologies leverage the quantum laws of physics for practical advantages. However, quantum mechanics also imposes limitations that have no classical counterparts. Theunitarityof quantum mechanics results in the no-cloning feature: Arbitrary quantum systems cannot be copied, as opposed to classical ones, which makes error correction of quantum information particularly challenging. In addition, quantum phenomena are exceptionally fragile, as most interactions destroy the crucial quantum phenomena. For quantum sensing, additional limitations are imposed by the fundamentally probabilistic nature of the theory: The inevitable quantum noise due to non-commutativity results in practical and fundamental limitations on the accumulation and read-out of signals. Overall, quantum technologies thus have to balance the extraordinary capabilities enabled by quantum effects with the inherent challenges imposed by quantum physics.In this project, we will develop new and improved quantum sensing paradigms based on quantum error correction. For quantum computing, error correction is a key component that enables the computational advantage despite the challenges of noise anddecoherence. It relies on intricate quantum information encoding strategies and algorithms to correct deleterious effects. We will adapt such techniques, and will develop new ones in similar spirit based on insights from quantum foundations, for quantum sensing. The goal is to create innovative new strategies for encoding and detection of quantum information in quantum metrology. The results will show how to better accumulate, transmit and shield quantum information in quantum sensors, adapting ideas fromNISQquantum computing on the one hand and quantum-classical hybrid descriptions on the other hand.The project will generalize and adapt methods developed for quantum information encoding to quantum sensors, in order to minimize the inevitable quantum noise from signal accumulation. Our work will rely on techniques from quantum foundations that couple classical and quantum systems and that can be used for new sensor designs that can exhibit quantum advantages. We will generalize such techniques to a broader class of systems and combine them withNISQerror correction strategies. In addition, we will also study how currently deployed quantum error correction codes can berepurposedfor sensing tasks, thus creating new types of sensors. We will analyze how such new sensing strategies can be employed with currently used systems and what types of signals they can reveal.Overall, this theoretical research will enable entirely new quantum sensors, by outlining new paradigms for sensing that can offer quantum advantages in novel architectures. The results will pave the way for new and improved sensors that can be constructed from currently available systems. Our work will focus on novel sensing paradigms that have so far been little explored, inspired by quantum error correction in theory and implementation. The results will show new paths for achieving quantum advantages and noise mitigation in systems such as atomic clocks and quantummagnetometers, and will enable new and improved sensor designs based on quantum error correctedNISQdevices.
Status | Finished |
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Effective start/end date | 1/09/22 → 31/08/24 |
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