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Quantum Secret Sharing with Squeezing

and Almost Any Passive Interferometer

F. Arzani, G. Ferrini, F. Grosshans, D. Markham

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Secret Sharing

A

dealer

shares a

secret

with several

players

in such a way that no

single player is able to retrieve the information alone

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Secret Sharing

A

dealer

shares a

secret

with several

players

in such a way that no

single player is able to retrieve the information alone

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Secret Sharing

A

dealer

shares a

secret

with several

players

in such a way that no

single player is able to retrieve the information alone

Access parties

: Groups that can retrieve the secret

Adversary structure

: Groups that should not get information

Quantum

Secret Sharing: secret encoded in a quantum state

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Several paradigms

CC

: Classical information shared using classical resources

CQ

: Classical information shared using quantum resources

Improved security

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Some previous work

First classical protocol

First proposal in DV (qubits)

Cluster-state based protocols in DV

Several proposals in CV...

...and experiments

CV cluster state - based protocols

A. Shamir, Comms of the ACM 22 (11) (1979)

R. Cleve, D. Gottesman & H.-K. Lo, PRL 83 (1999)

T. Tyc & B.C. Sanders, PRA 65 (2002)

D. Markham & B.C. Sanders,PRA 78 (2008)

T. Tyc & B.C. Sanders, JoP A 36 (2003)

A.M. Lance et al, PRL 92 (2004)

H.-K. Lo & C. Weedbrook, PRA 88 (2013)

P. Van Loock & D. Markham, AIP Conf. Proc. 1363, 256, (2011)

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Discrete and Continuous variables

DV : information encoded in d-level systems (typically d = 2)

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Discrete and Continuous variables

DV : information encoded in d-level systems (typically d = 2)

CV : information encoded in observables with continuous spectrum, e.g. : ,

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Discrete and Continuous variables

DV : information encoded in d-level systems (typically d = 2)

CV : information encoded in observables with continuous spectrum, e.g. : ,

Examples

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Discrete and Continuous variables

DV : information encoded in d-level systems (typically d = 2)

CV : information encoded in observables with continuous spectrum, e.g. : ,

In quantum optics

DV : polarization of single photon CV : quadratures of the field

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Wigner function, Gaussian states & Transformations

CV states can be visualized with a phase-space representation (Also a useful mathematical tool!)

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Wigner function, Gaussian states & Transformations

Wigner function ~ Distribution in phase space

May be negative! CV states can be visualized with a phase-space representation

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Wigner function, Gaussian states & Transformations

Wigner function ~ Distribution in phase space

May be negative! CV states can be visualized with a phase-space representation

(Also a useful mathematical tool!)

Vacuum → Same marginals Squeezing

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Wigner function, Gaussian states & Transformations

Wigner function ~ Distribution in phase space

May be negative! CV states can be visualized with a phase-space representation

(Also a useful mathematical tool!)

Vacuum → Same marginals Squeezing

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Squeezed states

Squeezing

Reduced fluctuations in q or p

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Squeezed states

Squeezing

Workhorse of CV Quantum information:

Easy to produce in the lab (non-linear optical media)

Deterministic entanglement with passive linear optics

Used for quantum teleportation

Experimental production of CV cluster states

Reduced fluctuations in q or p

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● Can be represented as graphs

● Characterized by nullifier operators ● Approximated by Gaussian states

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20 Passive interferometer Passive interferometer Vacuum

Vacuum MultimodeMultimodesqueezingsqueezing

Multimode pure Gaussian

quantum state

S. Braunstein,

PRA 71, 055801 (2005)

Producing Gaussian cluster states

These operations are

deterministic

!

For pure Gaussian states

(Quantum Optics):

Finite Sqz → Non-zero Q fluctuations → Logical errors

(No post-selection)

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(CV) Quantum secret sharing

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A quantum

(3,5)

scheme with Cluster States

CV Bell Measurement P. Van Loock & D. Markham, AIP Conf. Proc. 1363, 256, (2011)

Start Teleportation Secret is encoded

^ ^

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A quantum

(3,5)

scheme with Cluster States

Logical operators

CV Bell Measurement P. Van Loock & D. Markham, AIP Conf. Proc. 1363, 256, (2011)

Start Teleportation Secret is encoded

^ ^

● Same statistics on encoded state

as q, p on secret state

● Can be measured locally by any

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“Theory inspired” experiment

The protocol was simulated:

modes are not really separated, only gives an estimate of the excess noise Squeezed states: supermodes

Linear optics → Change of mode basis

(Linear combinations of supermodes)

Red: experiment, 4 dB

Blue: theory, 4 dB

Purple: experiment, 3 dB

Green: theory, 3 dB Fidelity above

classical bound

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A general CV threshold scheme

n sq u e ez e d m o de s secret In te rf e ro m e te r

m

homodyne (broadcast)

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Derived conditions on the interferometer such that each access party can either:

A general scheme

● Measure secret quadratures

● Physically reconstruct the secret

n sq u e ez e d m o de s secret In te rf e ro m e te r

m

homodyne (broadcast)

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Derived conditions on the interferometer such that each access party can either:

A general scheme

● Measure secret quadratures

● Physically reconstruct the secret

Almost all

passive interferometers can be used for

Quantum Secret Sharing with squeezed states

(In the sense of Haar measure)

n sq u e ez e d m o de s secret In te rf e ro m e te r

m

homodyne (broadcast)

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Gaussian transformations and Symplectic matrices

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Gaussian transformations and Symplectic matrices

Standard symplectic form

Unitary Gaussian transformations Symplectic Group

Phase-space

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Gaussian transformations and Symplectic matrices

Standard symplectic form

Unitary Gaussian transformations Symplectic Group

Squeezing:

Linear optics (passive interferometers):

Phase-space

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Gaussian transformations and Symplectic matrices

Standard symplectic form

Unitary Gaussian transformations Symplectic Group

Squeezing:

Linear optics (passive interferometers):

Bloch-Messiah:

Gaussian CPTP: (Stinespring)

Gaussian unitary with Gaussian ancillae

+

Partial trace

Phase-space

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The scheme revisited

2k -1 sq ue ez ed m od es secret In te rf er o m e te r

m

homodyne (broadcast)

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Encoding procedure

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Encoding procedure

Each player has 2:

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Encoding procedure

Each player has 2:

Goal: Get rid of these! noise

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Encoding procedure

After measurement: Each player has 2:

Goal: Get rid of these!

Each player eliminates one noise

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Encoding procedure

After measurement:

Set of k players A (access party) Each player has 2:

Goal: Get rid of these!

Each player eliminates one

2k

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Encoding procedure

After measurement:

Set of k players A (access party) Each player has 2:

Goal: Get rid of these!

Each player eliminates one

2k

Correct noise

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Encoding procedure

After measurement:

Set of k players A (access party) Each player has 2:

Goal: Get rid of these!

Each player eliminates one

2k

2k- 2 Correct

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Encoding procedure

After measurement:

Set of k players A (access party) Each player has 2:

Goal: Get rid of these!

Each player eliminates one

2k

2k- 2 Correct

noise

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Decoding conditions and the Haar measure

To eliminate the first anti-squeezed q

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Decoding conditions and the Haar measure

To eliminate the first anti-squeezed q

For (all) A to retrieve the secret

Haar measure = uniform probability measure on U(n)

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Decoding conditions and the Haar measure

To eliminate the first anti-squeezed q

For (all) A to retrieve the secret

Haar measure = uniform probability measure on U(n)

Coefficient of unitary matrices = real analytic functions of “angles”

= 0” in corresponds to null set of real analytic functions → zero measure

→ corresponding matrices have zero Haar measure

B. Mityagin,

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Decoding conditions and the Haar measure

To eliminate the first anti-squeezed q

For (all) A to retrieve the secret

Haar measure = uniform probability measure on U(n)

Coefficient of unitary matrices = real analytic functions of “angles”

= 0” in corresponds to null set of real analytic functions → zero measure

→ corresponding matrices have zero Haar measure If : A can sample

Or construct a unitary Gaussian decoding

B. Mityagin,

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Conclusions & Outlook

A general scheme with Gaussian resources

Works for almost any interferometer

Decoding only requires unitary Gaussian transformations

Decoding can be computed efficiently for any

A

(May still be hard to compute for all A)

Decoding: only two squeezers / one sqz + HDD / Local HDD

Easy to show that fidelity 1 for infinite squeezing

Easy to generalize to multi-mode secrets

Capacity? (Classical, quantum, private)

Robust to losses?

Optimize interferometer?

Experiments?

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Fidelity vs Squeezing (secret = coherent state)

For 1000 randomly generated interferometers

~5 sec ~1 sec ~22 sec 35 APs 10 APs 3 APs # APs =

References

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