question - university of toronto · 2010-03-16 · base collector emitter • collector-emitter...
TRANSCRIPT
Question: How can an object be two things at the same time?
Daniel James
PHY189
4March2010
Storing Numbers (and letters)
• “off” and “on”: 0 and 1 • binary numbers: imagine counting if you only had two fingers....
• Letters: use code numbers (e.g. “E” →69 in the “ASCII” code)
binary digit or “bit”
Claude Shannon (1916 - 2001)
128 64 32 16 8 4 2 1 64+4+1 =69 69→0 1 0 0 0 1 0 1
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Sum (A+B, but 1+1 =0)
Carry (1 if A and B= 1, else 0)
A B
Boolean “AND”
Boolean “XOR”
George Boole (1815 - 1864)
Interactions can realize the Boolean operations needed to do arithmetic
Persuading machines to Add
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
base
collector
emitter
• collector-emitter current controlled by base-emitter voltage - amplifying electronic signals: radios, TVs, stereos etc.. - electronic Boolean logic ⇒ computers
Transistors
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
$$$
phys
ics/
eng
inee
ring
mat
h early theory (Turing, Shannon...)
WW-2 (Colossus, ENIAC, ...)
Glory days of device physics (transistors, integrated circuits...)
First computer revolution: large scale applications
Personal computers: Apples and PCs
invention of the internet
The 2nd computer revolution
1940
1950
1960
1970
1980
1990
2000
Growth of Computing
Year
Capability doubles every 18 months.
Gordon Moore (1929- ) co-founder of Intel Corp.
Mooreʼs Law
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
• processing speed and memory size improved by miniaturization • Can we make transistors smaller and smaller? • No, because of....
QUANTUM MECHANICS
And so on...?
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
quantum state engineering: the undiscovered country
Classical and Quantum Descriptions of Nature • Classical Dynamics: mass, position, velocity etc. • The configuration (“state”) of the system is the same as the observables
• Quantum physics:
“State” “Observables”
probabilities
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
• state of unobserved light bulb is indeterminate • quantum mechanics allows us to figure the odds whether it’s on or off.
But... • The mere possibility of observation is enough to collapse the indeterminate state (so light-bulbs are, in fact, either “on” or “off”, even if no-one is looking)*
*i.e. No, you can’t use quantum physics to dispute your electric bill with Toronto Hydro
But, again... • Microscopic objects (e.g. atoms, photons) can be insulated from the possibility of measurement so quantum behavior will prevail
Quantum Sytems: Examples
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
€
State of a qubit : ψqubit =a 0 + b 1
Example: a spin-1/2 particle in a magnetic field
spinʼs magnetic moment is either “up” or “down” with respect to the B-field
€
≡ 0( )
€
≡ 1( )
Atomic Qubits
€
4 2S1/2, mJ = −1/2 • “qubits” formed by two atomic levels:
€
3 2D5/2, mJ = −1/2
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
“When two systems, of which we know the states, ... enter into temporary physical interaction, ... they can no longer be described in the same way as before, viz. by endowing each of them with a [state] of its own. I would not call that one but rather the characteristic trait of quantum mechanics, the one that enforces its entire departure from classical lines of thought. By the interaction the two representatives (or ψ -functions) have become entangled.”
-Erwin Schrödinger, 1935
Entanglement
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Example: qubits
€
ψ = a 0 A + b 1 A( )qubit A
⊗ c 0 B + d 1 B( )
qubit B
(interaction region)
State of either system is well defined: “separable state”
The two systems are in an “entangled state”
€
≠ ′ a 0 A + ′ b 1 A( )⊗ ′ c 0 B + ′ d 1 B( )
€
′ ψ =α 00
+ β 01 + γ 10 + δ 11
joint state :
1 2 4 3 4
€
i .e . 0 ⊗ 0
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
• Two atoms, separated, in state:
Non-locality
€
ψ = 12 01 − 10( )
• Measure A: 50% probability: “1”, with 50% probability: “0” (just like tossing a coin!) • BUT: instantaneously B is projected into the opposite state. If information cannot travel faster than light, how does it “know” what state to be in?
A B
• Perhaps outcomes of measurements is pre-ordained by some ʻhiddenʼ variable? Bellʼs theorem provides a test for this hypothesis: the answer is NO (sort of!)
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Whatʼs this got to do with computing?
• Moore’s law: conventional electronics cannot function with objects less than about 0.00001mm (and we’re pretty much there already...) • Can we turn a ‘bug’ into a ‘feature’: can quantum mechanics be exploited to enhance (or even revolutionize) computation?
Richard Feynman (1918-88)
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Suppose we have quantum light bulbs (that can be “on” and “off” at the same time: QU-BITS)
state of one bulb: a + b
state of two bulbs: a + b
+c + d
three bulbs: 8 possibilities, four bulbs: 16 possibilities, and so on.....
Quantum Memories are BIG!
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Quantum memories can do things classical computers cannot
- store all possible solutions of a problem at once, then down-select to the desired answer.
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Killer Ap: factoring 15= = 5 x 3 77= = 11 x 7
133= = 19 x 7
2934331= = 3221 x 911 1633= = 71 x 23
27997833911221327870829467638722601621070446786955428537560009929326128400107609345671052955360856061822351910951365788637105954482006576775098580557613579098734950144178863178946295187237869221823983
3532461934402770121272604978198464368671197400197625023649303468776121253679423200058547956528088349
7925869954478333033347085841480059687737975857364219960734330341455767872818152135381409304740185467
= x
Factoring is DIFFICULT
RSA200
Classical ~ exp{AL}
# of instructions
# of bits, L, factored
0 200 400 600 800 10001101001000
1 1041 1051 1061 1071 1081 1091 10101 10111 10121 10131 10141 10151 10161 10171 10181 10191 10201 10211 10221 10231 1024 ~ 1020 instructions:
16 months (2003-05)
Quantum~ L3
~ 1012 operations: Hours ?
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Why is Factoring ʻInterestingʼ? • Maybe you are a math whizz.... • Or, maybe you like to break codes.
RSA cryptosystem ʻpublic keyʼ encryption system used widely in internet communications relies on the difficulty of factoring for its security.
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
made from four blades (a), two tips (b) and a supporting structure (c). (from F. Schmidt-Kaler et al., Appl. Phys. B 77, 789 (2003)).
Trapped Ions ( the best Quantum Computer So Far)
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Alice relays results to Bob
Bobʼs qubit is projected into a
pure state
To Bob
Transformation Bobʼs qubit stored
in memory
selected on the basis of Aliceʼs
message
Bobʼs qubit ends up identical to
Charlieʼs
Aliceʼs classical message
Charlieʼs unknown qubit
entangled-qubit source
Aliceʼs “Teleporter” (Bell state analyzer)
To Bob
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Charlieʼs unknown qubit
entangled-qubit source
Aliceʼs “Teleporter” (Bell state analyzer)
To Bob
Teleportation Circuit
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Teleportation Circuit
Alice relays results to Bob
Bobʼs qubit is projected into a
pure state
To Bob
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
Teleportation Circuit
Transformation Bobʼs qubit stored
in memory
selected on the basis of Aliceʼs
message
Bobʼs qubit ends up identical to
Charlieʼs
Aliceʼs classical message
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
• 8 qubits; maybe 12 or 15 possible soon • 20+ logic operations
• operating speeds: 100 kHz (too slow) • Factoring of the number 15 (!)
• need 1500 qubits operating at 100 MHz to do something really useful... • Solid state or not?
Whence, Where and Whither?
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
DEPARTMENT OF PHYSICS UNIVERSITY OF TORONTO, 60 ST. GEORGE STREET, TORONTO, ONTARIO, CANADA M5S 1A7
$$$
phys
ics/
eng
inee
ring
mat
h early theory (Turing, Shannon...)
WW-2 (Colossus, ENIAC, ...)
Glory days of device physics (transistors, integrated circuits...)
First computer revolution: large scale applications
Personal computers: Apples and PCs
invention of the internet
The 2nd computer revolution
1940
1950
1960
1970
1980
1990
2000
Growth of Computing 1980
1990
2000
Growth of Quantum Computing
2010