Air Power asks trade to develop quantum computing software program algorithms for next-gen command and management

ROME, N.Y. – U.S. Air Power researchers are asking trade to develop new quantum computing algorithm software program for machine automation and machine studying in future command, management, communications, and intelligence programs.

Officers of the Air Power Analysis Laboratory Data Directorate in Rome, N.Y., issued a broad company announcement (FA8750 AFRL RIK ROME NY 13441-4514 USA) on Thursday for the Quantum Data Companies venture.

Researchers need corporations to submit white papers for analysis, design, improvement, idea testing, experimentation, integration, analysis, and supply of applied sciences to assist Air Power analysis in command and control.

Quantum computing seeks to capitalize on quantum mechanics to ship an enormous leap ahead in processor efficiency to unravel significantly tough issues.

Related: Military researchers focus on underexplored solutions to build quantum computer to help solve difficult problems

The venture has 5 focus areas: quantum algorithm and computation; quantum data processing; memory-node-based quantum networking; superconducting hybrid quantum platforms; and quantum data sciences.

Quantum algorithm and computation seeks to develop quantum software algorithms for at present’s computer systems, together with noisy intermediate-scale quantum (NISQ) computer systems and quantum annealing and adiabatic quantum computer systems.

Researchers are fascinated about quantum software program algorithms for machine studying, neural networks, optimization, quantum walks, unstructured searches, determination and danger evaluation, hybrid classical and quantum algorithms, environment friendly quantum gate and circuit decomposition and characterization, protocols and algorithms for quantum photonic built-in waveguide chips, superconducting qubit, and trapped-ion platforms.

Quantum data processing issues entanglement distribution, quantum data processing, and localand distributed quantum computation. The venture will emphasize photon-based qubits together with quantum built-in photonic circuitry, interactions between photon-based qubits, and different qubit applied sciences.

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Different pursuits embrace quantum repeaters, excessive dimensional entanglement, environment friendly era and measurement of quantum states, quantum channel characterization and discrimination, and measurement primarily based quantum computation.

Researchers are specializing in photon-based qubits, single-photon and entangled-photons on demand, quantum algorithms using cluster and graph states, trapped-ion qubits, superconducting qubits, quantum annealing or adiabatic quantum computation, and blind quantum computation.

Reminiscence-node-based quantum networking contains quantum networking, quantum communication, and quantum data processing with an emphasis on trapped-ion qubits, superconducting qubits, integrated-circuit-based qubits, and entanglement distribution.

Focus areas embrace multi-node community connections, quantum transduction throughout frequency bands, interfacing heterogeneous qubit applied sciences, quantum data mapping between homogenous and heterogeneous qubit applied sciences, entanglement distribution, entanglement verification and validation, ultra-high vacuum expertise, dilution fridge expertise, laser improvement and laser management, and interfaces throughout totally different platforms.

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Superconducting hybrid quantum platforms focuses on growing new quantum gadgets, new functionalities, and exploring elementary quantum networking physics, with an emphasis on hybrid superconducting programs.

The main target contains cross-quantum applied sciences for interfacing superconducting qubits and circuitry with ion-trap programs, built-in photonic circuitry, and electromechanical and optomechanical programs; quantum and classical microwave-optical interfaces; growing 3D-integrated heterogeneous quantum architectures; chip-scale refrigeration; and quantum interfaces throughout giant temperature gradients.

Quantum Data Sciences focuses on quantum communications, quantum networking, and quantum computing, with an emphasis on quantum bit applied sciences, quantum protocols for networking and computation, and enabling applied sciences.

Funding for this venture shall be about $20 million over the subsequent two years.

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Firms ought to e-mail two-to-four-page white papers no later than 29 Sept. 2022 for 2023 funding, and by 29 Sept. 2023 for 2024 funding to the Air Power’s Kristi Mezzano at [email protected].

E mail technical inquiries to Kristi Mezzano at [email protected], or contracting inquiries to Amber Buckley at [email protected].

Extra data is on-line at https://sam.gov/opp/afdb23099e5b4275b211e72f6cef0861/view.

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