QUANTCOM EXPLORING THE INTERSECTION OF QUANTUM PHENOMENA AND NEXT-GENERATION COMPUTING
Emerging properties of driven-dissipative nonlinear quantum oscillators offer a unique advantage in terms of processing capacity, making these systems strong candidates for real-world applications in a variety of quantum technology contexts. They exploit the computational power and large number of degrees of freedom of the system's density matrix, which are in principle independent objects and can be viewed as computational nodes of a complex network. At the same time, with limited ingredients, they are suitable for implementation in a variety of experimental setups, including photonic systems, superconducting circuits, or cavity QED.
The first pillar of this project is represented by quantum associative memory, the quantum version of neuro-inspired pattern recognition, first proposed in artificial systems in the original work of J. Hopfield, which consists of modeling neural networks as an ensemble of simple processing units, such as two-state objects that emulate the activity of neurons. While different routes have been taken to exploit the potential advantage of quantum settings for associative memory, a theoretical framework is missing, and many of the existing proposals seem to lack some fundamental ingredient. We started modeling quantum associative memories using single nonlinear oscillators and plan to go beyond these specific models to fully characterize the potential quantum advantage of such setups.
As a second pillar of the project, we will try to exploit the complex dynamics of an open quantum system in the field of metrology and sensing. Indeed, it is thought that quantum sensing and metrology could potentially provide unprecedented levels of sensitivity, which might revolutionize fields such as imaging, navigation, environmental monitoring, and timekeeping. In the field of quantum sensing, quantum systems, including atoms, ions, and photons, are precisely controlled and modified to serve as highly sensitive probes for detecting external inputs. For instance, quantum magnetometers exploit the quantum behavior of atomic spins to detect magnetic fields with remarkable sensitivity, while quantum atomic clocks employ atomic vibrations to
determine time with astounding precision. Entanglement and coherence are, in essence, responsible for the capability of quantum sensors. However, an enhancement in performance may be achieved by exploiting the correlations that are created around critical points. In this regard, the emergent dynamics of a time crystal seems to offer a privileged framework to test such a hypothesis
The first pillar of this project is represented by quantum associative memory, the quantum version of neuro-inspired pattern recognition, first proposed in artificial systems in the original work of J. Hopfield, which consists of modeling neural networks as an ensemble of simple processing units, such as two-state objects that emulate the activity of neurons. While different routes have been taken to exploit the potential advantage of quantum settings for associative memory, a theoretical framework is missing, and many of the existing proposals seem to lack some fundamental ingredient. We started modeling quantum associative memories using single nonlinear oscillators and plan to go beyond these specific models to fully characterize the potential quantum advantage of such setups.
As a second pillar of the project, we will try to exploit the complex dynamics of an open quantum system in the field of metrology and sensing. Indeed, it is thought that quantum sensing and metrology could potentially provide unprecedented levels of sensitivity, which might revolutionize fields such as imaging, navigation, environmental monitoring, and timekeeping. In the field of quantum sensing, quantum systems, including atoms, ions, and photons, are precisely controlled and modified to serve as highly sensitive probes for detecting external inputs. For instance, quantum magnetometers exploit the quantum behavior of atomic spins to detect magnetic fields with remarkable sensitivity, while quantum atomic clocks employ atomic vibrations to
determine time with astounding precision. Entanglement and coherence are, in essence, responsible for the capability of quantum sensors. However, an enhancement in performance may be achieved by exploiting the correlations that are created around critical points. In this regard, the emergent dynamics of a time crystal seems to offer a privileged framework to test such a hypothesis
Researchers
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Gian Luca Giorgi