Quantum communication energy storage

Can quantum computing solve complex energy systems driven by big data?

Conferences > 2024 6th International Confer... Quantum computing holds promise for addressing previously unsolvable problems, particularly within complex energy systems driven by big data. This research employs a semi-systematic literature analysis to identify and categorise popular quantum algorithms with potential applications in these systems.

Will quantum networking and communication benefit the energy sector?

Quantum networking and communication are already breaking new ground in cybersecurity applications and promise to benefit from a rapidly evolving global energy sector that is becoming increasingly reliant upon secure information collection and transmission. The scope and outline of the review are illustrated in Figure 1.

What is quantum communication?

Quantum communication describes quantum key distribution (QKD, described in Section 2.4) among multiple users for the secure transfer of classical information and quantum teleportation of quantum states from one location to another.

Is quantum communication a threat to the energy sector?

The ever-increasing amount of data that must be collected and disseminated within the energy sector creates the potential for vulnerability to hackers and other outside attacks, necessitating secure networks and communication protocols, an exciting near-term opportunity for quantum communication deployment.

What can quantum technology do for the energy sector?

Continued demonstrations of quantum communication in harsh environments (e.g., underwater, long distances, in variable weather/temperature conditions, etc.) and the development of mobile quantum networks will also be invaluable for the creation of market-ready quantum solutions for the energy sector.

How to benchmark the quantum storage performance of the current device?

To benchmark the quantum storage performances of the current device, we further encode time-bin qubits on the input pulses. Four states are prepared as input qubits: ∣ e 〉, ∣ l 〉, ∣ e 〉 + ∣ l 〉, and ∣ e 〉 + i ∣ l 〉, where ∣ e 〉 and ∣ l 〉 represent the early bin and the late bin, respectively.