Artificial Life in Quantum Technologies

Abstract

We develop a quantum information protocol that models the biological behaviors of individuals living in a natural selection scenario. The artificially engineered evolution of the quantum living units shows the fundamental features of life in a common environment, such as self-replication, mutation, interaction of individuals, and death. We propose how to mimic these bio-inspired features in a quantum-mechanical formalism, which allows for an experimental implementation achievable with current quantum platforms. This result paves the way for the realization of artificial life and embodied evolution with quantum technologies.

References in corpus (3)

• Quantum computing with trapped ions
• An Open-System Quantum Simulator with Trapped Ions
• Realization of the quantum Toffoli gate with trapped ions

Cited by in corpus (14)

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• Towards Pricing Financial Derivatives with an IBM Quantum Computer
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• Quantum Memristors in Quantum Photonics
• Quantum machine learning and quantum biomimetics: A perspective
• Reinforcement learning for semi-autonomous approximate quantum eigensolver
• Quantized Single-Ion-Channel Hodgkin-Huxley Model for Quantum Neurons
• Quantized Three-Ion-Channel Neuron Model for Neural Action Potentials
• Entanglement Classification with Algebraic Geometry
• Self-replication of a quantum artificial organism driven by single-photon pulses
• Algorithmic quantum simulation of memory effects
• Adaptive Random Quantum Eigensolver