Narrowing the parameter space of collapse models with ultracold layered force sensors
Narrowing the parameter space of collapse models with ultracold layered force sensors
 
  Despite the unquestionable empirical success of quantum theory, witnessed by the recent uprising of quantum technologies, the debate on how to reconcile the theory with the macroscopic classical world is still open. Spontaneous collapse models are one of the few testable solutions so far proposed. In particular, the continuous spontaneous localization (CSL) model has become subject of intense experimental research. Experiments looking for the universal force noise predicted by CSL in ultrasensitive mechanical resonators have recently set the strongest unambiguous bounds on CSL. Further improving these experiments by direct reduction of mechanical noise is technically challenging. Here, we implement a recently proposed alternative strategy that aims at enhancing the CSL noise by exploiting a multilayer test mass attached on a high quality factor microcantilever. The test mass is specifically designed to enhance the effect of CSL noise at the characteristic length rc = 10−7 m. The measurements are in good agreement with pure thermal motion for temperatures down to 100 mK. From the absence of excess noise, we infer a new bound on the collapse rate at the characteristic length rc = 10−7 m, which improves over previous mechanical experiments by more than 1 order of magnitude. Our results explicitly challenge a well-motivated region of the CSL parameter space proposed by Adler.
  
  
  
    
      Vinante, A.
      
        f023d600-0537-41c4-b307-bf9cdfc1f56c
      
     
  
    
      Carlesso, M.
      
        bdaf218c-85ae-43fb-a347-47800841078e
      
     
  
    
      Bassi, A.
      
        607b3bae-7360-4251-8546-5b199218377b
      
     
  
    
      Chiasera, A.
      
        af3cfd5a-6571-4cd4-b594-91b4d82f0cf1
      
     
  
    
      Varas, S.
      
        e246cdbe-02bc-4da5-a026-12a8739974cb
      
     
  
    
      Falferi, P.
      
        157151f2-e576-47ed-a389-666076b5b280
      
     
  
    
      Margesin, B.
      
        99f08923-9c56-4ce6-bba8-39f62b2490a5
      
     
  
    
      Mezzena, R.
      
        4579c54b-9f65-4d29-9364-f343eb574479
      
     
  
    
      Ulbricht, H.
      
        5060dd43-2dc1-47f8-9339-c1a26719527d
      
     
  
  
   
  
  
    
    
  
    
    
  
    
      3 September 2020
    
    
  
  
    
      Vinante, A.
      
        f023d600-0537-41c4-b307-bf9cdfc1f56c
      
     
  
    
      Carlesso, M.
      
        bdaf218c-85ae-43fb-a347-47800841078e
      
     
  
    
      Bassi, A.
      
        607b3bae-7360-4251-8546-5b199218377b
      
     
  
    
      Chiasera, A.
      
        af3cfd5a-6571-4cd4-b594-91b4d82f0cf1
      
     
  
    
      Varas, S.
      
        e246cdbe-02bc-4da5-a026-12a8739974cb
      
     
  
    
      Falferi, P.
      
        157151f2-e576-47ed-a389-666076b5b280
      
     
  
    
      Margesin, B.
      
        99f08923-9c56-4ce6-bba8-39f62b2490a5
      
     
  
    
      Mezzena, R.
      
        4579c54b-9f65-4d29-9364-f343eb574479
      
     
  
    
      Ulbricht, H.
      
        5060dd43-2dc1-47f8-9339-c1a26719527d
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Vinante, A., Carlesso, M., Bassi, A., Chiasera, A., Varas, S., Falferi, P., Margesin, B., Mezzena, R. and Ulbricht, H.
  
  
  
  
   
    (2020)
  
  
    
    Narrowing the parameter space of collapse models with ultracold layered force sensors.
  
  
  
  
    Physical Review Letters, 125 (100404), [100404].
  
   (doi:10.1103/PhysRevLett.125.100404). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          Despite the unquestionable empirical success of quantum theory, witnessed by the recent uprising of quantum technologies, the debate on how to reconcile the theory with the macroscopic classical world is still open. Spontaneous collapse models are one of the few testable solutions so far proposed. In particular, the continuous spontaneous localization (CSL) model has become subject of intense experimental research. Experiments looking for the universal force noise predicted by CSL in ultrasensitive mechanical resonators have recently set the strongest unambiguous bounds on CSL. Further improving these experiments by direct reduction of mechanical noise is technically challenging. Here, we implement a recently proposed alternative strategy that aims at enhancing the CSL noise by exploiting a multilayer test mass attached on a high quality factor microcantilever. The test mass is specifically designed to enhance the effect of CSL noise at the characteristic length rc = 10−7 m. The measurements are in good agreement with pure thermal motion for temperatures down to 100 mK. From the absence of excess noise, we infer a new bound on the collapse rate at the characteristic length rc = 10−7 m, which improves over previous mechanical experiments by more than 1 order of magnitude. Our results explicitly challenge a well-motivated region of the CSL parameter space proposed by Adler.
         
      
      
        
          
            
  
    Text
 Challenging spontaneous collapse models with ultracold layered force sensors
     - Accepted Manuscript
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Accepted/In Press date: 24 July 2020
 
    
      e-pub ahead of print date: 3 September 2020
 
    
      Published date: 3 September 2020
 
    
  
  
    
  
    
     
        Additional Information:
        Funding Information:
We gratefully thank S. L. Adler for many stimulating discussions, and N. Bazzanella for technical help. A. B. acknowledges hospitality from the Institute for Advanced Study, Princeton, where part of this work was done. We acknowledge financial support from the EU H2020 FET project TEQ (Grant No. 766900), the Leverhulme Trust (RPG-2016-046), the COST Action QTSpace (CA15220), INFN, and the Foundational Questions Institute (FQXi).
Publisher Copyright:
© 2020 American Physical Society.
      
    
  
    
  
    
  
    
     
    
  
    
  
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 442912
        URI: http://eprints.soton.ac.uk/id/eprint/442912
        
          
        
        
        
          ISSN: 1079-7114
        
        
          PURE UUID: ab571b09-4932-46a4-aa3a-b852bba276cc
        
  
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
  
  Catalogue record
  Date deposited: 31 Jul 2020 16:30
  Last modified: 06 Jun 2024 04:06
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      Contributors
      
          
          Author:
          
            
              
              
                A. Vinante
              
              
                 
              
            
            
          
         
      
          
          Author:
          
            
            
              M. Carlesso
            
          
        
      
          
          Author:
          
            
            
              A. Bassi
            
          
        
      
          
          Author:
          
            
            
              A. Chiasera
            
          
        
      
          
          Author:
          
            
            
              S. Varas
            
          
        
      
          
          Author:
          
            
            
              P. Falferi
            
          
        
      
          
          Author:
          
            
            
              B. Margesin
            
          
        
      
          
          Author:
          
            
            
              R. Mezzena
            
          
        
      
        
      
      
      
    
  
   
  
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