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Limits and Horizon of Computing

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Presentation on theme: "Limits and Horizon of Computing"— Presentation transcript:

1 Limits and Horizon of Computing
Post silicon computing

2 Limits Theoretical limit: Some unsolvable problems Halting problem

3 Limits Theoretical limit: Some unsolvable problems Halting problem
Practical Limits: Too slow to be worth it

4 Example Know there is a binary key of n digits that decrypts data… try every possible key …

5 Example Know there is a binary key of n digits that decrypts data… try every possible key O(2n) n Possible keys 1 2 4 3 8 16 10 1024 20 ~1,000,000 30 ~1,000,000,000 40 ~1,000,000,000,000

6 Example Traveling Salesman Problem:

7 Example O(n!) Traveling Salesman Problem: Towns Routes 2 3 6 4 24 5
120 10 3,628,800 20 2,432,902,008,176,640,000

8 Classes Exponential and factorial growth:

9 Impossible For Any Significant Size
Classes Exponential and factorial growth: Impossible For Any Significant Size Doable

10 Classes Polynomial: Work is O(nm) for some constant m O(1), O(logn), O(n), O(n*logn), O(n2), O(n3) Non-polynomial: More time than polynomial O(2n), O(n!)

11 P vs NP

12 Other Hard Problems Factoring Integers – why RSA works!
Many optimization problems

13 But Moore's Law! Moore's Law "solves" polynomial problems
18 months, 2x as fast 3 years, 4x as fast 6 years, 16x as fast

14 But Moore's Law! Moore's Law "solves" polynomial problems
18 months, 2x as fast 3 years, 4x as fast 6 years, 16x as fast O(n) : do 16x more work O(n2) : do 4x more work

15 But Moore's Law! More's law not much help with non- polynomial problems 2n doubles each time n increases by 1

16 But Moore's Law! More's law not much help with non- polynomial problems 2n doubles each time n increases by 1 18 months do +1 units of work 3 years do +2 units of work 6 years do +4 units of work

17 Silicon Reaching limits of ability to work with silicon…

18 Tiny tiny tiny Transistors are small http://htwins.net/scale2/
Modern chip: 14 nanometer scale Transistor ~30 atoms across 30 atoms!!!

19 New Materials Trick 1: New materials

20 Molecular Computation
Trick 2: Molecular computation DNA Storage: 700 terabytes in one gram

21 Longer Term? Moore's law is going to break…

22 Longer Term? Moore's law is going to break…
Even it can't help us with some problems…

23 Longer Term? Need something completely different

24 Quantum Mechanics Trick 3: Quantum Mechanics
Rules that govern sub atomic physics Particles can pass through solid objects Particles can be entangled and read each other's "minds" across the universe Everything is random until it is observed… then it changes to match observation

25 Video Quantum Computers:
What they are: How they work:

26 Optimization Problem Each switch is on or off – make the highest total:

27 Classical Approach 6 switches, each on or off
26 or 32 possible states… try them one by one

28 Scaling

29 Quantum Approach Switches can be both on and off…
Test all possible solution at once! Observing forces qubits to one state… …set up so desired answer is most likely state

30 100 A problem space is represented by 100 bits 2100 possible answers
Conventional computer: 1,000,000,000 solutions checked per second 40 trillion years to solve

31 100 A problem space is represented by 100 bits 2100 possible answers
Quantum computer with 100 bits Try all states at once Seconds (+ lots of setup time) Answer is only probably correct – need multiple runs to confirm…

32 Reality Solving 3 x 5 = 15 the hard way


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