Policy Impact Analysis - 117/S/4592

Bill Overview

Title: Quantum Computing Cybersecurity Preparedness Act

Description: This bill addresses the migration of executive agencies information technology systems to post-quantum cryptography. Post-quantum cryptography is encryption strong enough to resist attacks from quantum computers developed in the future. Not later than one year after the National Institutes of Standards and Technology has issued post-quantum cryptography standards, the Office of Management and Budget (OMB) shall begin to prioritize the migration of agency information technology systems to post-quantum cryptography. Not later than one year after the date of the enactment of this bill, the OMB shall submit to Congress a report on a strategy to address the risk posed by the vulnerabilities of agency information technology systems to the potential capability of a quantum computer; the funding necessary to secure such information technology systems from the threat posed by adversarial access to quantum computers; and a description of federal coordination efforts to develop standards for post-quantum cryptography, including any federal Information Processing Standards.

Sponsors: Sen. Hassan, Margaret Wood [D-NH]

Target Audience

Population: People using computing systems and encrypted communication worldwide

Estimated Size: 331000000

Reasoning

Simulated Interviews

Cybersecurity Analyst (San Francisco, CA)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy is crucial for national security given the rapid advancements in quantum computing.
  • Immediate effects might not be visible, but the long-term benefits are significant.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 8 7
Year 5 9 6
Year 10 9 5
Year 20 9 3

Software Developer (Austin, TX)

Age: 30 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • I don't see a direct impact on my personal work, but it might push our company to consider stronger encryption practices.
  • Personally, I am interested in the technological advancement it brings.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 9 8
Year 10 9 8
Year 20 9 7

Retired Teacher (Providence, RI)

Age: 55 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm glad the government is taking steps to protect our data, but it's hard to see how this directly affects me right now.
  • I trust that this will make online transactions safer in the future.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 5
Year 20 7 4

Computer Science Student (New York, NY)

Age: 22 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • I am excited about quantum technologies and understand the importance of staying ahead in cybersecurity.
  • This will likely influence my career path and academic focus.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 6
Year 20 9 5

Government Contractor (Seattle, WA)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • The policy will create more work and job security for me and my colleagues.
  • It shows that the government is planning ahead, which is promising.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 6
Year 20 8 5

Healthcare Professional (Miami, FL)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Although my work is not directly impacted, protecting patient data is crucial.
  • I see an indirect benefit as healthcare systems secure their data against future threats.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 5
Year 20 7 4

Retired Engineer (Chicago, IL)

Age: 65 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I'm happy to see the government taking proactive steps.
  • However, I doubt I'll directly see the effects, being retired.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 5
Year 3 6 5
Year 5 6 5
Year 10 6 4
Year 20 5 3

Financial Analyst (Los Angeles, CA)

Age: 37 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • Increased security in government could lead to better standards in finance.
  • I'm optimistic about the potential tech investments.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 9 6
Year 10 9 5
Year 20 8 4

Entrepreneur (Atlanta, GA)

Age: 34 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • This could lead to pressure on small businesses to upgrade too.
  • I'll have to keep up with encryption trends to protect client data.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 5
Year 20 7 4

Bank IT Manager (Charlotte, NC)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • A federal mandate sets a benchmark that banks often follow.
  • This aligns with our internal discussions on quantum threats.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 6
Year 10 9 5
Year 20 8 4

Cost Estimates

Year 1: $1500000000 (Low: $1200000000, High: $1800000000)

Year 2: $1300000000 (Low: $1000000000, High: $1600000000)

Year 3: $1100000000 (Low: $900000000, High: $1400000000)

Year 5: $900000000 (Low: $700000000, High: $1100000000)

Year 10: $600000000 (Low: $500000000, High: $800000000)

Year 100: $50000000 (Low: $40000000, High: $60000000)

Key Considerations