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Digital-Analog Quantum Machine Learning

Abstract

Machine learning algorithms are extensively used in an increasing number of systems, applications, technologies, and products, both in industry and in society as a whole. They enable computing devices to learn from previous experience and therefore improve their performance in a certain context or environment. In this way, many useful possibilities have been made accessible. However, dealing with an increasing amount of data poses difficulties for classical devices. Quantum systems may offer a way forward, possibly enabling to scale up machine learning calculations in certain contexts. On the contrary, quantum systems themselves are also hard to scale up, due to decoherence and the fragility of quantum superpositions. In the short and mid term, it has been evidenced that a quantum paradigm that combines evolution under large analog blocks with discrete quantum gates, may be fruitful to achieve new knowledge of classical and quantum systems with no need of having a fault-tolerant quantum computer. In this perspective, we review some recent works that employ this digital-analog quantum paradigm to carry out efficient machine learning calculations with current quantum devices.

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Digital-Analog Quantum Machine Learning

Author: Lamata Manuel, Lucas
Publisher: Wiley
Year: 2025
DOI: 10.1002/aidi.202400023
Source: https://idus.us.es/bitstreams/b79bf087-f340-4560-8592-c6141deb8a22/download
Digi al-Analog Quan um Machine Lea ning
Lucas Lama a
Depa amen o de Física A ómica, Molecula y Nuclea , Facul ad de Física, Uni e sidad de Se illa, Se illa, Spain
Co espondence: Lucas Lama a ([email p o ec ed])
Recei ed: 17 No embe 2024 |Re ised: 30 Decembe 2024 |Accep ed: 20 Janua y 2025
Funding: MCIN/AEI, G an /Awa d Numbe : PID2022-136228NB-C21PID2022-136228NB-C22; ERDF A way o making Eu ope; Minis y o Digi al
T ans o ma ion and o Ci il Se ice o he Spanish Go e nmen ; Eu opean Union
Keywo ds: digi al-analog quan um p o ocols |machine lea ning |quan um echnologies
ABSTRACT
Machine lea ning algo i hms a e ex ensi ely used in an inc easing numbe o sys ems, applica ions, echnologies, and p oduc s,
bo h in indus y and in socie y as a whole. They enable compu ing de ices o lea n om p e ious expe ience and he e o e
imp o e hei pe o mance in a ce ain con ex o en i onmen . In his way, many use ul possibili ies ha e been made accessible.
Howe e , dealing wi h an inc easing amoun o da a poses di icul ies o classical de ices. Quan um sys ems may o e a way
o wa d, possibly enabling o scale up machine lea ning calcula ions in ce ain con ex s. On he con a y, quan um sys ems
hemsel es a e also ha d o scale up, due o decohe ence and he agili y o quan um supe posi ions. In he sho and mid e m,
i has been e idenced ha a quan um pa adigm ha combines e olu ion unde la ge analog blocks wi h disc e e quan um ga es,
may be ui ul o achie e new knowledge o classical and quan um sys ems wi h no need o ha ing a aul - ole an quan um
compu e . In his pe spec i e, we e iew some ecen wo ks ha employ his digi al-analog quan um pa adigm o ca y ou
e icien machine lea ning calcula ions wi h cu en quan um de ices.
1|Quan um Machine Lea ning
Machine lea ning is a knowledge ield, a ool, a compu ing pa -
adigm, a echnology, which is signi ican ly impac ing socie y a
la ge, by enabling a ple ho a o possibili ies, as well as challenges,
as wi h any new and highly powe ul echnology. Howe e , i s
ull deploymen is hampe ed by he ac ha an inc easing
amoun o da a is ha d o p ocess wi h cu en classical com-
pu e s, and consumes a signi ican amoun o ene gy. A possible
way o wa d o scale up machine lea ning calcula ions would be
ia he use o quan um de ices employing genuine quan um
p ope ies, such as supe posi ion and en anglemen . In his
way, i may be possible o ake ad an age o he speedup o quan-
um compu e s o ca y ou machine lea ning calcula ions in a
mo e e icien way, a leas in some ins ances. E en hough he
ield o quan um machine lea ning, which connec s machine
lea ning calcula ions o a quan um ha dwa e seeking o hese
ad an ages, is no absen o con o e sy and specula ion, as i
is eally ha d o p o e speedup wi h espec o he bes classical
machine lea ning algo i hms, his is a ield ha is ising much
expec a ion and hope ha wi h NISQ de ices one may bea
classical compu e s o use ul asks. Fo a ecen e iew o he
ield, see e . [1].
2|Digi al-Analog Quan um Pa adigm
Full- ledged, scalable, digi al quan um compu e s a e ha d o
achie e, as hey no mally equi e millions o physical qubi s
o encode aul - ole ance and e o -co ec ion p o ocols. On he
con a y, analog quan um simula o s a e ypically scalable bu
Dedica ed o he ounde s o Quan um Mechanics.
This is an open access a icle unde he e ms o he C ea i e Commons A ibu ion License, which pe mi s use, dis ibu ion and ep oduc ion in any medium, p o ided he o iginal wo k is
p ope ly ci ed.
© 2025 The Au ho (s). Ad anced In elligen Disco e y published by Wiley-VCH GmbH.
Ad anced In elligen Disco e y, 2025; 0:e2400023 1o 4
h ps://doi.o g/10.1002/aidi.202400023
Ad anced In elligen Disco e y
PERSPECTIVE
limi ed in he amoun o p oblems hey a e able o sol e, o ep o-
duce in a quan um simula ion. A possible combina ion o bo h
app oaches has eme ged in he pas ew yea s as a s a egy o he
sho and mid e m, which may enable NISQ quan um de ices o
achie e use ul asks, o ins ance, in lea ning new p ope ies o
quan um sys ems. The ocus on he ield o digi al-analog quan-
um p o ocols has been mos ly on quan um simula ions in he
pas ew yea s, wi h heo y p oposals and expe imen s in a a i-
e y o quan um pla o ms. Howe e , mos ecen ly se e al wo ks
ha aim a ca ying ou machine lea ning calcula ions ia digi al-
analog quan um p o ocols ha e appea ed in he li e a u e.
Fo an ea ly e iew on he ield o digi al-analog quan um sim-
ula ions see e . [2].
In Figu e 1, I plo a scheme o a gene ic ex eme digi al-analog
quan um p o ocol (EDAQP). This consis s o a combina ion o
he la ges analog blocks possible (a se o global na i e in e ac-
ions, namely, global uni a y ga es on all qubi s based on
he quan um pla o m na i e Hamil onian, U
1
(
1
), U
2
(
2
),…,
U
k
(
k
),…, and he smalles digi al ga es possible, ha is, single-
qubi ga es, R
i,j
, ac ing on qubi ja s ep i, which can be done wi h
he bes ideli ies in mos quan um pla o ms.
3|Digi al-Analog Quan um Machine Lea ning
In his pe spec i e, I gi e a non-exhaus i e o e iew o he ield
o quan um machine lea ning, when digi al-analog quan um
p o ocols a e employed o i s deploymen . I p opose o use
he name “Digi al-analog quan um machine lea ning”(DAQML)
o his esea ch a enue. I will ci e se e al pape s in his a ea as
well as b ie ly desc ibe each o hem.
In e . [3], he au ho s p opose o use a digi al-analog quan um
p o ocol o implemen a a ia ional quan um eigensol e o es i-
ma ing g ound s a e ene gies o molecules. A subsequen wo k
[4], analyzed he deploymen o a quan um gene ic algo i hm
ia he Qadence digi al-analog coding language o Rydbe g a om
a ays [5], o add ess also calcula ions o g ound s a e ene gies o
molecules, in a scalable way. This ins ance o digi al-analog
quan um p o ocol was o he EDAQP as shown in Figu e 1.
Re . [6] s udies he use o a digi al-analog quan um app oxima e
op imiza ion algo i hm o sol ing a se ies o asks wi h NISQ
de ices. In e . [7], he au ho s p opose o use a digi al-analog
quan um pa adigm o quan um ke nel implemen a ion in he
con ex o quan um machine lea ning. In e . [8], a quan um
Fou ie ans o m implemen a ion is p oposed ia he use o
digi al-analog quan um p o ocols, showing possible gains in
esou ces wi h espec o pu ely digi al ones, and enabling in his
way he use o his p imi i e in a a ie y o p o ocols, which may
also include quan um machine lea ning ones, in pa icula . This
is o ins ance analyzed in e . [9] wi h espec o he Ha ow-
Hassidim–Lloyd (HHL) p o ocol. In e . [10], he au ho s p opose
digi al-analog quan um lea ning algo i hms o Rydbe g a om
sys ems, which hey claim can combine he use ulness o quan-
um machine lea ning p o ocols in he nea e m, wi h he e i-
cien scalabili y ha is ecen ly being achie ed wi h Rydbe g
a oms.
Mos p e ious wo ks, which a e i s ins ances o he combina-
ion o quan um machine lea ning algo i hms wi h he digi al-
analog quan um pa adigm, show e idence ha his combina ion
can be ui ul, and pe haps, by enabling a be e scalabili y
o quan um machine lea ning algo i hms, may p o ide a quan-
um ad an age wi h espec o classical machine lea ning
calcula ions.
4|Implemen a ions o he Digi al-Analog
Quan um Pa adigm
Se e al expe imen s in quan um pla o ms ha e eached a signi -
ican ly la ge amoun o qubi s and/o Hilbe space dimension,
by combining s a e-o - he-a de elopmen s in hese pla o ms,
and he use o digi al-analog o simila quan um echniques.
Some o he quan um pla o ms employed a e apped ions,
supe conduc ing ci cui s, and Rydbe g a oms. This kind o
app oach has been conside ed in pa allel by se e al g oups,
which employ la ge analog blocks combined wi h disc e e ga es,
al hough some o hese echniques a e also e e ed o in he
li e a u e as “p og ammable analog quan um simula ions”.
Fo a ecen e iew ha desc ibes analog, digi al, and digi al-
analog quan um pa adigms, in he con ex o quan um simula-
ion expe imen s, see e . [11]. E en hough hese pionee ing
expe imen s ha e mainly been ocused on quan um simula ions,
simila se ups may add ess quan um machine lea ning asks as
he ones desc ibed abo e, wi h possible gains wi h espec o
classical compu e s a leas in some a o able si ua ions
[See, e.g., wo k done in s a ups PASQAL [12] and QUERA
[13] in his sense].
5|Ou look
The p e ious accoun o ecen li e a u e combining digi al-
analog quan um p o ocols wi h quan um machine lea ning
algo i hms, which I name “Digi al-Analog Quan um Machine
Lea ning”(DAQML), is jus an appe ize o wha may come
in he u u e. Wi h he inc easing e iciency o quan um pla -
o ms such as apped ions, supe conduc ing ci cui s, and
Rydbe g a oms, in achie ing de ices wi h ens, o e en, hund eds
o quan um bi s, he possibili y o combine la ge analog blocks
wi h digi al s eps, in he pa adigm ha we c ea ed mo e han
FIGURE 1 |scheme o a gene ic EDAQP. This consis s o a
combina ion o he la ges analog blocks possible, ha is, a se o
global na i e in e ac ions, namely, global uni a y ga es on all qubi s
based on he quan um pla o m na i e Hamil onian, U
1
(
1
), U
2
(
2
),…,
U
k
(
k
),…, and he smalles digi al ga es possible, ha is, single-qubi
ga es, which can be done wi h he bes ideli ies in mos quan um
pla o ms.
2o 4 Ad anced In elligen Disco e y, 2025
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10 yea s ago in he con ex o quan um simula ions, may ep e-
sen a signi ican s ep o wa d in he ield o quan um echnolo-
gies. Pe haps one o he i s app oaches ha could possibly
impac he indus y o ca ying ou use ul asks migh be he
one I desc ibe he e, o combining ou digi al-analog quan um
pa adigm wi h he ledgling ield o quan um machine lea ning.
This could, in u n, impac subsequen ly socie y a la ge, as well
as he scien i ic en e p ise, ia enhancing scien i ic disco e y, as
his e y new jou nal, Ad anced In elligen Disco e y, aims o
achie e.
In gene al e ms, conside ing analog blocks in a quan um p o o-
col allows one o making a much la ge numbe o quan um
sys ems o in e ac , and become en angled. Fo example, o long
chains o 20–60 apped ions, o 50 supe conduc ing qubi s, o
ens o hund eds o Rydbe g a oms, decomposing global en an-
gling ope a ions on o single and wo-qubi ga es is in gene al
highly ine icien , due o digi al e o s in oduced as well as
e o s p oduced in each wo-qubi ga e, such as u ning pulses
on and o , e c. O en, one may ca y ou quan um p o ocols
o which i su ices o combine la ge analog blocks, wi h a na i e
in e ac ion coupling all qubi s, wi h single-qubi ga es, pe haps
wi h a small numbe o addi ional wo-qubi ga es, and in his
si ua ion mos o en ideli ies will be be e han decomposing
e e y mul iqubi ga e on o elemen a y ga es. O cou se, his will
s ongly depend on each pa icula case.
Ne e heless, he digi al-analog quan um pa adigm includes he
digi al one and he analog one as pa icula cases, such ha ,
gi en ha he digi al one is p o en o be uni e sal o quan um
compu ing, digi al-analog quan um p o ocols a e i ially uni e -
sal as he digi al case is a pa icula case o he la e (e.g., o
analog blocks wi h iden i y ga es, ha ing he na i e in e ac ion
wi h negligible coupling o a bi a y ime). The main di icul y
in deploying hese kinds o p o ocols is elucida ing he op imal
mul iqubi , single, and (pe haps) wo-qubi ga e decomposi ion,
bu in gene al his signi ican ly enla ges he amoun o choices
a ailable in he expe imen al oolbox o op imizing he quan um
p o ocols. DAQML p o ocols will possibly pe o m be e when
one would need o ac on many qubi s collec i ely, p oducing
global en anglemen , and whene e single-qubi ga es would su -
ice o con e gence o he op imal solu ion, oge he wi h he
analog global blocks (possibly by adding a ew wo-qubi ga es,
when needed). A p omising scena io o his, as shown in e . [4],
is he quan um gene ic algo i hm ealm, whe e uni e sali y is no
so much needed a he le el o elemen a y ga es, bu con e gence
is achie ed ia ecombina ion and selec ion o he i es , while
some amoun o di e si y in e ms o single-qubi ga es and ime-
dependen global analog blocks is in oduced in each i e a ion in
a a he obus and andom way, whe e ga e impe ec ions do no
ma e much. In his conc e e scena io o quan um gene ic algo-
i hms, i may well be ha a known p oblem in quan um
machine lea ning p o ocols based on g adien descen con e -
gence, namely, ba en pla eaus, may be a oided as he gene ic
p o ocol does no ely on g adien s.
Rega ding po en ial u u e esea ch di ec ions in DAQML and,
gi en ha his kind o oolbox s ongly depends on he de elop-
men s o each quan um pla o m, i will be con enien o adap
he p o ocols o echnological ad ances in each quan um imple-
men a ion, namely, ions, supe conduc ing ci cui s, Rydbe g
a oms, quan um pho onics, e c. In gene al e ms, i can be con-
side ed ha la ge analog blocks and single-qubi ga es may be
obus in quan um machine lea ning gi en ha in many p o o-
cols one is i e a ing un il con e gence, and, as a as one is
app oaching he op imal, speci ic impe ec ions, o imings, in
he analog blocks, o he indi idual ga es, do no ma e so much.
A simila conside a ion may be done o he digi al-analog quan-
um pa adigm o quan um simula ions, gi en ha eal, la ge
quan um sys ems ypically ha e impe ec ions simila o hose
o he analog blocks o quan um pla o ms. The e o e, i is in gen-
e al no de imen al o ha e impe ec analog blocks, as a as one
can en ich hem wi h indi idual ga es, o p oduce, o example, a
ha d- o- each Heisenbe g model om an easily implemen able
Ising model.
In summa y, he digi al-analog quan um pa adigm is highly scal-
able and e o - obus , bo h o he DAQML and he quan um
simula ion applica ions. We hope ha he expe imen al quan um
communi y inds use ul ways o employ i o a new gene a ion o
highly complex, possibly use ul, quan um expe imen s.
Acknowledgmen s
The au ho acknowledges he suppo om g an s PID2022-136228NB-
C21 and PID2022-136228NB-C22 unded by MCIN/AEI/10.13039/
50110001103 and “ERDF A way o making Eu ope”. This wo k has also
been inancially suppo ed by he Minis y o Digi al T ans o ma ion
and o Ci il Se ice o he Spanish Go e nmen h ough he
QUANTUM ENIA p ojec call—Quan um Spain p ojec , and by he
Eu opean Union h ough he Reco e y, T ans o ma ion and Resilience
Plan—Nex Gene a ionEU wi hin he amewo k o he “Digi al Spain
2026 Agenda”.
Da a A ailabili y S a emen
The da a ha suppo he indings o his s udy a e a ailable om he
co esponding au ho upon easonable eques .
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