SBIR/STTR Research Award

Highly Efficient Low Loss Fiber-Chip Light Coupling for Quantum Networks

Award identifier 90f6963aa553438af5512acc3c65cc29b6501fdbda89c51b7b5d64ff7ff48fbcAwarding agency Department of Energy

Award amount

$1,099,995

Program and phase

SBIR · Phase II

Award year

2024

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
HIGHRI OPTICS, INC.
Proposal award date
2024-04-01
Contract end date
2026-03-31
UEI
VV7JKMTEEKF7
Solicitation number
DE-FOA-0003184
Topic code
C55-04b

Research abstract

Superconducting and photonic qubits are the leading platforms for quantum computation, now and for the foreseeable future, and will provide essential functionality to large-scale quantum networks. To achieve this, techniques are needed to coherently convert between the microwave states used by the qubits and optical states required for long-distance communication, a conversion that needs to occur at cryogenic temperature (< 100 mK). This is an active field of research that follows several parallel technicalities, which are hampered by one common bottleneck: the ability to efficiently couple light between optical fibers and Photonic Integrated Circuit (PIC) waveguides. The inefficiency of current coupling schemes not only reduces the fidelity of the interconversion by photon loss, but light scattered from fiber-to-chip interfaces is highly detrimental to qubits and other superconducting circuit elements that are needed for the interconversion process. HighRI Optics Inc., in collaboration with Molecular Foundry at Lawrence Berkeley National Laboratory (LBNL), and BBN Raytheon, AIM Photonics proposes to develop a novel lensed fiber for efficient fiber-to-chip coupling with a ôphotonic plugö to reduce the current alignment challenges significantly. The high refractive index lens and the photonic plug will be imprinted on a single-mode fiber facet with an in-house fiber imprinter. Such a lens can still function in polymer mediums used for photonic packaging and can efficiently focus light into the waveguide while bonded at room or cryogenic temperature. This method can lead to low-cost manufacturing to accelerate commercialization, and the method is broadly adaptable for the photonic packaging community. Packaging of integrated photonic circuits (PIC) or miniaturized medical devices requires tedious placement and active alignment of the various micro-optical elements to each other. Coupling losses lead to significant contributions to the link power budget for digital computing and communications applications. The technological goal of this project applies only to quantum networks but also to the integrated photonics packaging currently in use, especially in telecommunications and data centers.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

13 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $7,349,472. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, National Aeronautics and Space Administration, Department of Commerce, Department of Defense

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.