Searching for Dark Matter with a Superconducting Qubit

Watch a physics lecture exploring innovative dark matter detection techniques using superconducting qubits and microwave photon counting. Learn about the development of sub-SQL detection methods that leverage interactions between bosonic dark matter candidates and electromagnetic fields. Discover how researchers achieved noise reduction 15.7 dB below the quantum limit through quantum non-demolition measurements and hidden Markov model analysis. Understand the implications of this breakthrough for accelerating future dark matter searches by a factor of 1,300. Examine the potential broader applications of these techniques for sub-SQL metrology when coupling qubits to quantum sensors. The presentation by Akash V. Dixit from the National Institute of Standards and Technology references findings published in Physical Review Letters and provides detailed insights into this cutting-edge research in particle physics and quantum measurement.