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Future Announcement: Quantum Computing – Applications Workshops (QC-AW)

Solicitation ID: DARPA-SN-27-14

Agency: DARPA/MXO

Type: Special Notice
Deadline: 2026-12-30T23:59:00 ET
Eligibility: Maybe (Topic Dependent)
Funding: N/A
Doc Type: PS
Clearance: No
Program Manager: Micah Stoutimore
Last Updated: 2026-10-28 16:03
Analyzed File: DARPA-SN-27-14.pdf

Eligibility Reasoning

This Special Notice is issued solely for information and program planning purposes; it does not constitute a formal solicitation for proposals or proposal abstracts... Prior to the workshops, DARPA anticipates releasing an RFI to provide further detail and solicit input from all relevant stakeholders.

Note: This is an AI-generated summary...

Summary

The Defense Advanced Research Projects Agency (DARPA) has issued a Special Notice (DARPA-SN-27-14) to announce its intent to host a series of Quantum Computing – Applications Workshops (QC-AW). These workshops, beginning no later than January 2027, will aim to determine the commercial impact and identify high-value use cases for future utility-scale quantum computers, which DARPA anticipates will be realized by 2033. The key goals are to develop new, industrially relevant application benchmarks, define a path for pricing quantum computations, and bring together end-users, quantum algorithm developers, hardware experts, and financial stakeholders to accelerate quantum advantage and strengthen national defense. A formal Request for Information (RFI) will precede the workshops.

Overall Technical Areas

Utility-Scale Quantum ComputersQuantum Application BenchmarksQuantum Algorithm DevelopmentCommercial Application WorkloadsQuantum Advantage AnalysisQuantum Computation PricingOptimized Circuit DesignsQuantum Hardware RoadmappingQuantum Resource EstimationQuantum Information ScienceScientific Computational Problems

Probable LBNL Areas

CSAEESAETALD

Focus Areas

Example Priorities:
  • bring together end users and quantum-algorithm experts to identify high-value use cases, accelerate industrially relevant quantum advantage, create economic opportunity, and strengthen national defense.
  • significant uncertainty remains regarding which application classes will run efficiently on future utility-scale quantum computers and deliver meaningful economic value.
  • DARPA is particularly interested in engaging commercial end users who will drive long-term demand for quantum computations so that industrially relevant application benchmarks may be developed as guide stars.
Specific Technical Skills:
Use Case AnalysisMarket AnalysisDomain Expertise (e.g. Finance, Pharma)Industrial Process ModelingNational Security ApplicationsScientific ComputingRequirements GatheringTechnology Scouting
Potential PIs for this Area:
NameScoreOrganization
Xiaoye Sherry Li0.77CSA | AMCR | Applied Mathematics · Scientific Computing
Hongyou Lu0.76ETA | Building & Industrial Energy Systems | Bldg & Industrial App Dpt · Industrial Process Modeling
Aaron Lattanzi0.76CSA | AMCR | Applied Mathematics · Scientific Computing
Shawn Tornga0.75LD | LD | ONHS · National Security Applications
Eric O'Shaughnessy0.75ETA | Energy Analysis | Energy Markets & Planning · Market Analysis
Unique Karki0.75ETA | Building & Industrial Energy Systems | Bldg & Industrial App Dpt · Industrial Process Modeling
Alex Newkirk0.74ETA | Building & Industrial Energy Systems | Bldg & Industrial App Dpt · Technology Scouting
Gregory Lemieux0.74EESA | CESD | Earth System Sciences · Domain Expertise (e.g. Finance, Pharma)
Drew Paine0.73CSA | SciData | Data Science Applications · Requirements Gathering
Hannah Cohoon0.72CSA | SciData | Data Science Applications · Use Case Analysis
Example Priorities:
  • A key goal of the workshops is defining a path toward pricing the value of quantum computations.
  • new benchmarks are needed to define commercial application workloads and expand the initial set.
  • Benchmark instances like those used in the optimization community could have significant potential for connecting commercial companies to quantum computing capacity.
  • Resource estimates for rigorously defined commercial applications set targets for quantum hardware vendors.
Specific Technical Skills:
Quantum BenchmarkingPerformance MetricsEconomic Value ModelingQuantum Resource EstimationOptimization TheoryComputational ComplexityAlgorithm AnalysisWorkload Characterization
Potential PIs for this Area:
NameScoreOrganization
Ravi Naik0.74CSA | AMCR | Computer Science · Quantum Benchmarking
Siyuan Niu0.74CSA | AMCR | Computer Science · Computational Complexity
Pengcheng Xie0.74CSA | AMCR | Mathematics · Optimization Theory
Anna Giannakou0.74CSA | SciData | Data Science Applications · Workload Characterization
Anastasiia Butko0.74CSA | AMCR | Computer Science · Workload Characterization
Stefan M. Wild0.73CSA | Computing · Optimization Theory
Neil Mehta0.73CSA | NERSC | Sci Eng & Workflows Department · Performance Metrics
Oscar Antepara0.73CSA | AMCR | Computer Science · Algorithm Analysis
Anthony Ciavarella0.73CSA | AMCR | Computer Science · Quantum Resource Estimation
Myles Collins0.73ETA | Energy Analysis | Energy Markets & Planning · Economic Value Modeling
Example Priorities:
  • Optimized circuit designs for commercial applications are critical to evaluate the timeline for economic impact.
  • Product roadmaps from quantum hardware vendors set the timeline to realize specific computational capabilities.
  • Resource estimates for rigorously defined commercial applications set targets for quantum hardware vendors.
Specific Technical Skills:
Quantum Algorithm DesignQuantum Circuit OptimizationHardware-Software Co-designQuantum ArchitectureFault-Tolerant ComputingQuantum Error CorrectionResource EstimationQuantum Compilers
Potential PIs for this Area:
NameScoreOrganization
Angelos Ioannou0.78CSA | AMCR | Computer Science · Quantum Architecture
Siyuan Niu0.76CSA | AMCR | Computer Science · Quantum Compilers
Anastasiia Butko0.76CSA | AMCR | Computer Science · Quantum Architecture
Anthony Ciavarella0.75CSA | AMCR | Computer Science · Quantum Algorithm Design
Scott Beamer0.75CSA | AMCR | Computer Science · Hardware-Software Co-design
Ravi Naik0.75CSA | AMCR | Computer Science · Quantum Circuit Optimization
Costin Iancu0.74CSA | AMCR | Computer Science · Fault-Tolerant Computing
Katherine Klymko0.73CSA | NERSC | HPC Technology Department · Quantum Algorithm Design
Hartmut Haeffner0.73CSA | AMCR | Computer Science · Quantum Error Correction
Gregory Lemieux0.72EESA | CESD | Earth System Sciences · Resource Estimation
Example Priorities:
  • Creative funding for quantum computing and applications development, such as advanced market commitments or a futures market for quantum computing capacity, can help facilitate and power economic growth and activity in quantum information science and technology.
  • Of specific interest are ideas for innovative public-private partnerships.
  • Financial stakeholders: Creative funding for quantum computing and applications development...
Specific Technical Skills:
Public-Private PartnershipsFinancial ModelingVenture Capital AnalysisMarket Creation StrategiesEconomic PolicyTechnology CommercializationFutures MarketsAdvanced Market Commitments
Potential PIs for this Area:
NameScoreOrganization
Nica Campbell0.74ETA | Energy Analysis | Systems & Energy Tech Analysis · Economic Policy
Sean Murphy0.73ETA | Energy Analysis | Energy Markets & Planning · Economic Policy
Xu Liu0.73ETA | Energy Analysis | Energy Markets & Planning · Advanced Market Commitments
Eric Masanet0.73ETA | Energy Analysis | Systems & Energy Tech Analysis · Technology Commercialization
Eric O'Shaughnessy0.73ETA | Energy Analysis | Energy Markets & Planning · Futures Markets
Nikit Abhyankar0.73ETA | Energy Analysis | Energy Markets & Planning · Market Creation Strategies
Reshma Singh0.72ETA | Building & Industrial Energy Systems | Whole Building Sys Dept · Technology Commercialization
Greg Leventis0.72ETA | Energy Analysis | Energy Markets & Planning · Public-Private Partnerships
Thomas Hendrickson0.71ETA | Energy Analysis | Systems & Energy Tech Analysis · Venture Capital Analysis
Marcos Lopez de Prado0.71CSA | SciData | Data Science Research · Financial Modeling

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

NameScoreOrganization
Anthony Ciavarella0.77CSA | AMCR | Computer Science · Quantum Algorithm Development
Akash Dixit0.76CSA | AMCR | Computer Science · Utility-Scale Quantum Computers
Meriam Gay Bautista-Jurney0.76CSA | AMCR | Computer Science · Optimized Circuit Designs
Jason Lowe-Power0.76CSA | SciData | Data Science Applications · Commercial Application Workloads
Xiaoye Sherry Li0.75CSA | AMCR | Applied Mathematics · Scientific Computational Problems
Siyuan Niu0.75CSA | AMCR | Computer Science · Quantum Application Benchmarks
Hartmut Haeffner0.75CSA | AMCR | Computer Science · Quantum Information Science
Erhan Saglamyurek0.75CSA | ESNET | Tech Adv and Engagement · Quantum Advantage Analysis
Marina Radulaski0.75ESA | MF | MF Nanofabrication Facility · Quantum Hardware Roadmapping
Katherine Klymko0.75CSA | NERSC | HPC Technology Department · Quantum Computation Pricing

Fundamental Research Exemption (FRE)

Not Mentioned